Are you looking to get a new job, start your own trading desk, or get better opportunities in your current organization? EPAT is a top algo trading course for those seeking career growth in algorithmic and quantitative trading. Access the most comprehensive quant trading curriculum, learn from world-class faculty, and receive personalized support for specialization in asset classes and trading strategies with live project mentorship.



13th April, 2024 6 months

13th April, 2024

6 months

Course benefits

World Class Faculty

World-Class Faculty

Learn from the best in the industry

Dedicated Support

Dedicated Support

Get answers to all your queries super quick

Career Services

Career Services

Avail lifetime placement and career assistance

We have a 4.8 rating out of 300+ Google reviews

Jad Mawlawi Jad Mawlawi
United Kingdom google logo

EPAT has been a great experience for me. It is definitely the best programme out there to learn quantitative finance and algorithmic trading. The… See More

EPAT has been a great experience for me. It is definitely the best programme out there to learn quantitative finance and algorithmic trading. The team was and still is very helpful and caring. The course itself is a combination of different disciplines including programming, finance, and statistics taught by very knowledgeable and experienced faculty.

Billy Davila Billy Davila
United States google logo

I recently completed the EPAT programme from QuantInsti, and it was a rich experience. I learned more here than I did on my university curriculum… See More

I recently completed the EPAT programme from QuantInsti, and it was a rich experience. I learned more here than I did on my university curriculum. This is mainly since the EPAT course is very practical and I was able to learn a lot in such a short time. It provided me with a lot of theoretical and practical knowledge in the algorithmic trading domain. Besides their excellent curriculum, the support team is friendly, dedicated, and always there to support you during your EPAT journey. They also have a placement team that keeps you updated with career opportunities. However, keep in mind that your background will influence how well you fit into those career opportunities. They also have a self-paced learning portal named Quantra which I really enjoy. Overall, they are excellent at what they do.

Marcus Coleman Marcus Coleman
United States google logo

QuantInsti is the best place to learn professional algorithmic and quantitative trading. The EPAT programme is a highly structured and hands-on l… See More

QuantInsti is the best place to learn professional algorithmic and quantitative trading. The EPAT programme is a highly structured and hands-on learning experience and it's being updated frequently. The faculty and staff are extremely competent and available to address any concerns you may have. Upon completion of the EPAT programme you will have the necessary tools to begin a career in algorithmic/quantitative trading.

Jim Ike Jim Ike
Singapore google logo

From basic knowledge of quantitative finance to practical hands-on python session of back testing trading strategies, EPAT course covers a large … See More

From basic knowledge of quantitative finance to practical hands-on python session of back testing trading strategies, EPAT course covers a large portion of knowledge needed to join algorithmic trading industry. Good introduction to dive in.

Ronnie Varghese Ronnie Varghese
United Arab Emirates google logo

The Executive Programme in Algorithmic Trading (EPAT) is a well structured, intensive course which takes approx. 6 months to complete. The core f… See More

The Executive Programme in Algorithmic Trading (EPAT) is a well structured, intensive course which takes approx. 6 months to complete. The core focus areas of the course are stock market theories and quantitative principles, statistical analysis and programming. With the current trend of businesses moving towards implementing Artificial Intelligence (AI) or data-centric approaches to solving difficult problems, the skills gained from this course can be used to solve any AI-related problem (i.e. these skills can be used for any domain other than algorithmic trading). Having these skills in your repertoire will likely increase the probability of finding employment. Further, the Institute actively works towards the placement of the students enrolled (or alumni) in the course. The faculty are experts in their respective fields. In order to successfully complete this course, the student must be committed to completing the assignments and projects to cement their understanding of the course material. An added advantage is that there is lifetime access to the course materials, which will enable any alumni of the EPAT course to stay updated on the developments in this field. Overall, in my opinion, EPAT provides value for your money.

Avi Nandwani Avi Nandwani
United States google logo

I found the EPAT course to be exactly what I was looking for – the right mix of statistics, financial markets and coding. The faculties were exce… See More

I found the EPAT course to be exactly what I was looking for – the right mix of statistics, financial markets and coding. The faculties were excellent, and most importantly, the support team was exceptional with their efforts towards my learning.

Rajeev Chahar Rajeev Chahar
India google logo

Your one-stop solution for the niche and opaque domain of Algorithmic Trading. Be it faculty, student support service, training content & resourc… See More

Your one-stop solution for the niche and opaque domain of Algorithmic Trading. Be it faculty, student support service, training content & resources or communication, they match the standards of international repute!

Raymond Philips Raymond Philips
South Africa google logo

I had a great experience through QuantInsti Learning. If you are passionate about Algorithmic/Quantitative Trading, or you want to start your jou… See More

I had a great experience through QuantInsti Learning. If you are passionate about Algorithmic/Quantitative Trading, or you want to start your journey in this amazing discipline, this is a great place to begin and grow your knowledge and interest. The administration and faculty were outstanding. Lectures are well-delivered and informative and there is always additional help should you require it. There is a wide array of learning material both through coursework and through the community as a whole.

Eriz Zárate Eriz Zárate
Spain google logo

Only great words to say about QuantInsti and my learning path during the EPAT programme. Always curious, always listening and improving. All the … See More

Only great words to say about QuantInsti and my learning path during the EPAT programme. Always curious, always listening and improving. All the staff, starting from the CEO down to the support people were very nice 120% of the time (the 20% excess goes to all the help that they have given me after concluding the course, every time with a consistent will to help others).

Regarding the EPAT programme content, the key thing I would like to say is that is a wide covering approach. During six months, industry experts (i.e. real practitioners, not Gurus) dive into a variety of topics from scratch, so that, after that, you can choose in which field are you going to focus.

My final thoughts for new EPATians are: it is a must-do course if you are beginning in the field of algorithmic trading and quantitative finance. Although the real value is in the people that drive the institution. Be sure that you will have to take more courses after EPAT to succeed in this field, but you won't find the life-long learning support that they will give you anywhere else.

Nicolò Pirozzi Nicolò Pirozzi
Italy google logo

The course is very organized, both theoretical and practical, the staff is very competent and helpful, I found myself at ease during the whole co… See More

The course is very organized, both theoretical and practical, the staff is very competent and helpful, I found myself at ease during the whole course of study, I learned the basics to start a career in algorithmic trading and finance in general. What I appreciated the most were the lessons held with prominent personalities from the world of finance and trading, who shared their knowledge and experiences with the students. I would definitely recommend the course to anyone wishing to pursue a career in trading and finance.

Krishna Tunga Krishna Tunga
United States google logo

I took the EPAT course already being familiar with algorithmic trading. I liked the content related to statistical arbitrage, order book mechanic… See More

I took the EPAT course already being familiar with algorithmic trading. I liked the content related to statistical arbitrage, order book mechanics and dispersion trading. The faculty and staff were very responsive and helpful. The lifelong continuing education part is also awesome as it keeps you current with what's happening in the field. Highly recommended for beginners interested to learn more about algorithmic trading.

Brian Chai Brian Chai
Singapore google logo

I completed the EPAT course from QuantInsti and it was one of the best decisions I made to further my skills as a trader. The modules are care… See More

I completed the EPAT course from QuantInsti and it was one of the best decisions I made to further my skills as a trader. The modules are carefully chosen to provide you with a wide variety of skills needed for algorithmic and quantitative trading. Aside from the lecture materials, they also provide additional reading material and relevant references for you to dive deeper as well. The course is taught by practitioners who run funds and are authors of books that are some of the best in this space. The lectures are live and u get to interact with the faculty members too. The faculty members, mentors and support managers are always there to help me out with any queries that I have. Personally, I struggled a lot initially with coding as I did not come from a programming background but by the end of the course, I was able to deploy machine learning techniques in my strategies. I believe they have even added extra Python materials in the newer batches too. Overall if you are looking for a comprehensive course for algorithmic or quantitative trading then I would recommend EPAT by QuantInsti.

Prachiti Asolkar Prachiti Asolkar
India google logo

It's a one-of-a-kind programme. The course extensively covers most areas required to begin a career as a quantitative trader. Their team is very … See More

It's a one-of-a-kind programme. The course extensively covers most areas required to begin a career as a quantitative trader. Their team is very helpful and professional, right from signing up for the program to placements. A dedicated account manager was assigned who encouraged the timely completion of courses/assignments (very important for any online course). The placement team is very proactive and helps out all the way till interview prep/test/assignments in the job search process.

Jad Mawlawi Jad Mawlawi
United Kingdom google logo

EPAT has been a great experience for me. It is definitely the best programme out there to learn quantitative finance and algorithmic trading. The team was and still is very helpful and caring. The course itself is a combination of different disciplines including programming, finance, and statistics taught by very knowledgeable and experienced faculty.

Billy Davila Billy Davila
United States google logo

I recently completed the EPAT programme from QuantInsti, and it was a rich experience. I learned more here than I did on my university curriculum. This is mainly since the EPAT course is very practical and I was able to learn a lot in such a short time. It provided me with a lot of theoretical and practical knowledge in the algorithmic trading domain. Besides their excellent curriculum, the support team is friendly, dedicated, and always there to support you during your EPAT journey. They also have a placement team that keeps you updated with career opportunities. However, keep in mind that your background will influence how well you fit into those career opportunities. They also have a self-paced learning portal named Quantra which I really enjoy. Overall, they are excellent at what they do.

Marcus Coleman Marcus Coleman
United States google logo

QuantInsti is the best place to learn professional algorithmic and quantitative trading. The EPAT programme is a highly structured and hands-on learning experience and it's being updated frequently. The faculty and staff are extremely competent and available to address any concerns you may have. Upon completion of the EPAT programme you will have the necessary tools to begin a career in algorithmic/quantitative trading.

Jim Ike Jim Ike
Singapore google logo

From basic knowledge of quantitative finance to practical hands-on python session of back testing trading strategies, EPAT course covers a large portion of knowledge needed to join algorithmic trading industry. Good introduction to dive in.

Ronnie Varghese Ronnie Varghese
United Arab Emirates google logo

The Executive Programme in Algorithmic Trading (EPAT) is a well structured, intensive course which takes approx. 6 months to complete. The core focus areas of the course are stock market theories and quantitative principles, statistical analysis and programming. With the current trend of businesses moving towards implementing Artificial Intelligence (AI) or data-centric approaches to solving difficult problems, the skills gained from this course can be used to solve any AI-related problem (i.e. these skills can be used for any domain other than algorithmic trading). Having these skills in your repertoire will likely increase the probability of finding employment. Further, the Institute actively works towards the placement of the students enrolled (or alumni) in the course. The faculty are experts in their respective fields. In order to successfully complete this course, the student must be committed to completing the assignments and projects to cement their understanding of the course material. An added advantage is that there is lifetime access to the course materials, which will enable any alumni of the EPAT course to stay updated on the developments in this field. Overall, in my opinion, EPAT provides value for your money.

Avi Nandwani Avi Nandwani
United States google logo

I found the EPAT course to be exactly what I was looking for – the right mix of statistics, financial markets and coding. The faculties were excellent, and most importantly, the support team was exceptional with their efforts towards my learning.

Rajeev Chahar Rajeev Chahar
India google logo

Your one-stop solution for the niche and opaque domain of Algorithmic Trading. Be it faculty, student support service, training content & resources or communication, they match the standards of international repute!

Raymond Philips Raymond Philips
South Africa google logo

I had a great experience through QuantInsti Learning. If you are passionate about Algorithmic/Quantitative Trading, or you want to start your journey in this amazing discipline, this is a great place to begin and grow your knowledge and interest. The administration and faculty were outstanding. Lectures are well-delivered and informative and there is always additional help should you require it. There is a wide array of learning material both through coursework and through the community as a whole.

Eriz Zárate Eriz Zárate
Spain google logo

Only great words to say about QuantInsti and my learning path during the EPAT programme. Always curious, always listening and improving. All the staff, starting from the CEO down to the support people were very nice 120% of the time (the 20% excess goes to all the help that they have given me after concluding the course, every time with a consistent will to help others).

Regarding the EPAT programme content, the key thing I would like to say is that is a wide covering approach. During six months, industry experts (i.e. real practitioners, not Gurus) dive into a variety of topics from scratch, so that, after that, you can choose in which field are you going to focus.

My final thoughts for new EPATians are: it is a must-do course if you are beginning in the field of algorithmic trading and quantitative finance. Although the real value is in the people that drive the institution. Be sure that you will have to take more courses after EPAT to succeed in this field, but you won't find the life-long learning support that they will give you anywhere else.

Nicolò Pirozzi Nicolò Pirozzi
Italy google logo

The course is very organized, both theoretical and practical, the staff is very competent and helpful, I found myself at ease during the whole course of study, I learned the basics to start a career in algorithmic trading and finance in general. What I appreciated the most were the lessons held with prominent personalities from the world of finance and trading, who shared their knowledge and experiences with the students. I would definitely recommend the course to anyone wishing to pursue a career in trading and finance.

Krishna Tunga Krishna Tunga
United States google logo

I took the EPAT course already being familiar with algorithmic trading. I liked the content related to statistical arbitrage, order book mechanics and dispersion trading. The faculty and staff were very responsive and helpful. The lifelong continuing education part is also awesome as it keeps you current with what's happening in the field. Highly recommended for beginners interested to learn more about algorithmic trading.

Brian Chai Brian Chai
Singapore google logo

I completed the EPAT course from QuantInsti and it was one of the best decisions I made to further my skills as a trader. The modules are carefully chosen to provide you with a wide variety of skills needed for algorithmic and quantitative trading. Aside from the lecture materials, they also provide additional reading material and relevant references for you to dive deeper as well. The course is taught by practitioners who run funds and are authors of books that are some of the best in this space. The lectures are live and u get to interact with the faculty members too. The faculty members, mentors and support managers are always there to help me out with any queries that I have. Personally, I struggled a lot initially with coding as I did not come from a programming background but by the end of the course, I was able to deploy machine learning techniques in my strategies. I believe they have even added extra Python materials in the newer batches too. Overall if you are looking for a comprehensive course for algorithmic or quantitative trading then I would recommend EPAT by QuantInsti.

Prachiti Asolkar Prachiti Asolkar
India google logo

It's a one-of-a-kind programme. The course extensively covers most areas required to begin a career as a quantitative trader. Their team is very helpful and professional, right from signing up for the program to placements. A dedicated account manager was assigned who encouraged the timely completion of courses/assignments (very important for any online course). The placement team is very proactive and helps out all the way till interview prep/test/assignments in the job search process.

120+

Hours Live Lectures

20+

World Class Faculty

350+

Hiring Partners

90+

Participant Countries

350+ PLACEMENT PARTNERS

Ravenpack
Tower Research
Futures First
Profluent Trading
Global Precious Metals
Philip Capital
Ernst & Young
Quadeye
Edelweiss
ICICI Securities
Max Life Insurance
Reliance

Course features

Project opportunity Project work opportunity

Scholarships and Financial Aid Scholarships and Financial Aid

Lifetime access to latest course contentLifetime access to latest course content

Verified Certification Verified Certification

Exclusive EPAT Community benefits Exclusive EPAT Community benefits

Credit Points Credit Points for continuous professional development

Speak to a counsellor

You can always reach to us at

phone-icon +91-8976996960
+1(347) 603-1954 (Global)

mail-icon contact@quantinsti.com

schedule a call

Curriculum

1 EPAT Primer
  • Basics of Algorithmic Trading: Know and understand the terminology
  • Excel: Basics of MS Excel, available functions and many examples to give you a good introduction to the basics
  • Basics of Python: Installation, basic functions, interactive exercises, and Python Notebook
  • Options: Terminology, options pricing basic, Greeks and simple option trading strategies
  • Basic Statistics including Probability Distributions
  • MATLAB: Tutorial to get an hands-on on MATLAB
  • Introduction to Machine Learning: Basics of Machine Learning for trading and implement different machine learning algorithms to trade in financial markets
  • Two preparatory sessions will be conducted to answer queries and resolve doubts on Statistics Primer and Python Primer
  • Data Visualization: Statistics and probability concepts (Bayesian and Frequentist methodologies), moments of data and Central Limit Theorem
  • Applications of statistics: Random Walk Model for predicting future stock prices using simulations and inferring outcomes, Capital Asset Pricing Model
  • Modern Portfolio Theory - statistical approximations of risk/reward
  • Data types, variables, Python in-built data structures, inbuilt functions, logical operators, and control structures
  • Introduction to some key libraries NumPy, pandas, and matplotlib
  • Python concepts for writing functions and implementing strategies
  • Writing and backtesting trading strategies
  • Two Python tutorials will be conducted to answer queries and resolve doubts on Python
  • Overview of Electronic and Algorithmic Trading.
  • Various order types, order book dynamics, Spoofing, Price Time Priority Algorithm and Guerilla Algorithm.
  • Execution strategy to trade large volumes.
  • The algorithmic trading process from a market microstructure perspective.
  • Understanding of Equities Derivative market
  • VWAP strategy: Implementation, effect of VWAP, maintaining log journal
  • Different types of Momentum (Time series & Cross-sectional)
  • Trend following strategies and Statistical Arbitrage Trading strategy modeling with Python
  • Arbitrage, market making and asset allocation strategies using ETFs
  • Implement various OOP concepts in python program - Aggregation, Inheritance, Composition, Encapsulation, and Polymorphism
  • Back-testing methodologies & techniques and using Random Walk Hypothesis
  • Quantitative analysis using Python: Compute statistical parameters, perform regression analysis, understanding VaR
  • Work on sample strategies, trade the Boring Consumer Stocks in Python
  • Two tutorials will be conducted after the initial two lectures to answer queries and resolve doubts about Data Analysis and Modeling in Python
  • Decision Trees, Support Vector Machine, Neural Networks, Forward propagation, Backward propagation, Various neural network architectures.
  • Building a “Principal Component Analysis” manually, conducting a pairs-trading back-test using PCA, Simulation of multiple co-integrated assets, and Sector statistical arbitrage using PCA.
  • Using Python and Jupyter notebooks to create features, evaluate models, use feature selection and test raw performance.
  • Overview of Alternate Data: Sources, data formats, storage and retrieval choices, Understanding RDF and Knowledge Graph, Tagging Unstructured Data with relevant metadata.
  • Using spaCy for common Text processing tasks, Understanding Topic Modeling and Topic Classification.
  • Understanding Machine Readable News Programmatic consumption of news.
  • Machine Readable News in the Financial Industry: Sample in Production use cases, Sentiment Data in the Financial Industry: Sample in Production use cases.
  • Basic ideas of deep reinforcement learning such as reward, explore/exploit, Bellman equation and memory replay.
  • Challenges and problems with RL in trading, Implementation of RL in a simple strategy using "gamification".
  • System Architecture of an automated trading system
  • Infrastructure (hardware, physical, network, etc.) requirements
  • Understanding the business environment (including regulatory environment, financials, business insights, etc.) for setting up an Algorithmic Trading desk
  • Time series analysis and statistical functions including autocorrelation function, partial autocorrelation function, maximum likelihood estimation, Akaike Information Criterion
  • Stationarity of time series, Autoregressive Process, Forecasting using ARIMA
  • Difference between ARCH and GARCH and Understanding volatility
  • Introduction to Interactive Brokers platform and Blueshift
  • Code and back-test different strategies on various platforms
  • Using IBridgePy API to automate your trading strategies on Interactive Brokers platform
  • Interactive Brokers Python API
  • Different methodologies of evaluating portfolio & strategy performance
  • Risk Management: Sources of risk, risk limits, risk evaluation & mitigation, risk control systems
  • Trade sizing for individual trading strategy using conventional methodologies, Kelly criterion, Leverage space theorem
  • Options Pricing Models: Conceptual understanding and application to different strategies & asset classes
  • Option Greeks: Characteristics & Greeks based trading strategies
  • Implied volatility, smile, skew and forward volatility
  • Sensitivity analysis of options portfolio with risk management tools
  • Self-study project work under mentorship of a domain/expert
  • Project topic qualifies for area of specialization and enhanced learning
  • EPAT exam is conducted at proctored centers in 80+ countries

Certificate

IBF

This programme has been accredited by The Institute of Banking and Finance (IBF, Singapore) under the IBF Standards. IBF-STS provides upto 50% funding for direct training costs subject to a cap of S$ 3,000 per candidate per programme subject to all eligibility criteria being met. This is applicable to Singapore Citizens or Singapore Permanent Residents, physically based in Singapore. Find out more on www.ibf.org.sg

CPD

EPAT is accredited by CPD, UK (Continuing Professional Development, UK)

Lehigh University

Lehigh University shall award a $12,000 scholarship to graduates of Executive Program in Algorithmic Trading (EPAT); provided that such students have been admitted to Lehigh University’s Masters in Financial Engineering program or MS, Business Analytics program in accordance with Lehigh’s standard procedures.

GARP

QuantInsti has registered this program with GARP for Continuing Professional Development (CPD) credits. Attending this program qualifies for 30 GARP CPD credit hours. If you are a Certified Financial Risk Manager (FRM®), or Energy Risk Professional (ERP®), please record this activity in your Credit Tracker.

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Faculty Members

Anil Yadav

Anil Yadav

At iRage, Anil managed multiple trading strategies and then also designed firm-wide risk and compliance practices. Currently, he is building the infrastructure to evaluate alpha signals (both individually and in combinations). Before iRage, Anil worked as an independent commodities trader, managing a portfolio of metals and energy products and as a senior Analyst at TCG’s Private Equity fund and as a Convertible Analyst at Lehman Brothers.

Dr. Ankur Sinha

Dr. Ankur Sinha

Dr Ankur Sinha carries a rich professional experience being associated with the prestigious IIM Ahmedabad, India, as a faculty member and also heading various departments at IIM Ahmedabad. He has taught at Aalto University School of Business, Finland & Michigan State University, United States. He is a renowned expert in the domain of Big Data and Business Intelligence. He holds a PhD in Business Technology from Aalto University School of Business, Helsinki, Finland, and has done Mechanical Engineering at one of India's finest institutions, IIT Kanpur.

Ashutosh Dave

Ashutosh Dave

Ashutosh Dave has more than a decade of experience in the area of financial derivatives trading and quant finance. His key areas of interest include applying advanced data science and machine learning techniques to financial data. Ashutosh worked as a derivatives trader specialising in trading interest rates and commodities with a proprietary trading firm in London for several years before joining QuantInsti.

Brian Christopher

Brian Christopher

Brian is a Quantitative researcher, Python developer, CFA charter holder, and the founder of Blackarbs LLC, a quantitative research firm. He started coding using Python to create algo trading strategies and has self-published his research which focused on trading algorithm research and development. He attained a BSc in Economics from Northeastern University in Boston, MA and received the Chartered Financial Analyst (CFA) designation in 2016.

Dr. Ernest P. Chan

Dr. Ernest P. Chan

Ernest Chan (Ernie) is the founder and CEO of Predictnow.ai, a machine learning SaaS. He started his career as a machine learning researcher at IBM's T.J. Watson Research Center's Human Language Technologies group, which produced some of the best-known quant fund managers. He later joined Morgan Stanley's Data Mining and Artificial Intelligence group. He is the founder and non-executive chairman of QTS Capital Management, a quantitative CPO/CTA. He obtained his PhD in Physics from Cornell University and his B.Sc. in Physics from the University of Toronto.

Dr. Euan Sinclair

Dr. Euan Sinclair

Dr Euan Sinclair holds a PhD in theoretical physics from the University of Bristol. Dr Euan has more than 2 decades of Options trading experience and has written three books, “Volatility Trading”, “Options Trading” and "Positional Options Trading", all published by Wiley, as well as numerous papers and articles.

Dr. Gaurav Raizada

Dr. Gaurav Raizada

Gaurav is an experienced professional who leads the client business at iRage. He focuses on developing and optimizing trading systems, and transaction cost analysis. He is the Chief Investment Officer for iRage Master Trust Investment Managers LLP and a Designated Partner for iRage. His educational background includes a Doctor of Philosophy in Financial Econometrics from IIT Bombay, an MBA from IIM Lucknow, and a B.Tech from IIT Kanpur.

Dr. Hui Liu

Dr. Hui Liu

Dr Liu is the author of IBridgePy and founder of Running River Investment LLC. His major trading interests are US equities and the Forex market. Running River Investment LLC is a private hedge fund specialising in the development of automated trading strategies using Python.

Ishan Shah

Ishan Shah

Ishan leads Quantra's Research and Content team and has prior experience at Barclays and Bank of America Merrill Lynch. Ishan has a rich experience in financial markets spanning various asset classes in different roles. He has co-authored a book on Machine Learning for Trading.

Jay Parmar

Jay Parmar

Jay Parmar works as an Associate, Content & Research at QuantInsti and comes with several years of experience in the BFSI industry. He is actively engaged in content development for quant finance courses and mentors EPAT participants across the globe. His research interests are in applying machine learning models to various facets of trading.

Nitesh Khandelwal

Nitesh Khandelwal

Nitesh Khandelwal is presently the CEO of QuantInsti, an institute co-founded in 2010 as part of iRage, a leading algorithmic trading player in India. Before co-founding iRage, he had worked in bank treasury (FX & Interest rate domain) and on a proprietary trading desk.

Nitin Aggarwal

Nitin Aggarwal

Nitin is the Founder and CEO of Alphom Advisory Pvt. Ltd. (a trading firm). His gamut of experience ranges from developing novel breakthrough chemical technologies to creating proprietary trading strategies. Before leading the Alphom Advisory, he led the Operations team in Pentagon Advisory, has been a quant at iRage and a Leadership Associate with the Aditya Birla Group.

Prodipta Ghosh

Prodipta Ghosh

Prodipta leads the Fin-tech products and platforms development at QuantInsti. Before joining QuantInsti, Prodipta spent more than a decade in the banking industry – in various roles across trading and structuring desks for Deutsche Bank in Mumbai & London, and as a corporate banker with Standard Chartered Bank. Before that, Prodipta worked as a scientist in India’s Defence Research & Development Organization (DRDO).

Radha Krishna Pendyala

Radha Krishna Pendyala

Radha works as a Data Scientist at Thomson Reuters. His work involves applying machine learning and quantitative financial modelling techniques to large datasets to solve specific problems in the financial sector. He obtained his Master’s in Financial Engineering from the City University of New York.

Rajib Ranjan Borah

Rajib Ranjan Borah

Rajib focuses on business strategy, trading strategies, risk management & internal processes. He is a regular speaker at algorithmic trading conferences across Asia, America & Europe Prior experiences – quant research (Bloomberg, NY); high-frequency trading (Optiver, Amsterdam); data analytics technology (Oracle); business strategy for an investment firm & derivatives exchanges Represented India at the World Puzzle Championship 4 times. Top 24 finalists at the Indian National Biology Olympiad. Rajib is also a visiting faculty in finance at IIM Ahmedabad.

Dr. Robert Kissell

Dr. Robert Kissell

Dr Robert Kissell is the President of the Kissell Research Group and has a rich professional experience of 25 years. Specializing in financial and quantitative analysis, statistical modelling, and risk management, Dr Kissell is the global leader and industry expert in the electronic and algorithmic trading space, a well-known speaker, renowned author, professor at multiple educational institutions, and an expert having published numerous financial research papers. Dr Kissell is an Adjunct Professor at Fordham University and an Assistant Professor at the Molloy College.

Dr. Thomas Starke

Dr. Thomas Starke

Dr Thomas Starke is the CEO of the financial consultancy firm AAAQuants. With a remarkable career spanning working with Boronia Capital, Vivienne Court Trading and Rolls-Royce, he has conducted workshops and presentations on algorithmic trading around the world. As an academic, he was a senior research fellow and lecturer at Oxford University. A tech aficionado, he takes a keen interest in new technologies such as AI, quantum computing and blockchain.

Varun Pothula

Varun Pothula

Varun Pothula possesses an extensive experience in the field of quantitative finance. With a Master's degree in Financial Engineering, he has excelled as a trader, global macro analyst, and algo trading strategist. Currently, Varun holds the position of Quantitative Analyst in the Content & Research Team at QuantInsti, where his valuable contributions aid in the development of comprehensive educational offerings tailored to the algorithmic and quantitative trading domain.

Vivek Krishnamoorthy

Vivek Krishnamoorthy

Vivek leads the Research & Content team for EPAT at QuantInsti. He teaches participants data analysis, building quant strategies and time series analysis using Python. He has over 15 years of experience across India, Singapore, and Canada in industry, academia, and research. He is the co-author of the books, “Python Basics: With illustrations from the financial markets (2019)” and “A rough-and-ready guide to algorithmic trading (2020)”.

Dr. Yves J. Hilpisch

Dr. Yves J. Hilpisch

Dr Yves Hilpisch is an expert in Python & Mathematical Finance and covers topics related to Python coding & strategy backtesting. He also covers Object-Oriented Programming concepts in Python. Yves is the founder and the CEO of The Python Quants as well as The AI Machine. He is also an Adjunct Professor of Computational Finance at the University of Miami Business School, USA.

ADMISSION PROCESS

Send Your Application

Send your
Application

Call Counsellor

Get on a call
with a Counsellor

Application Acceptance

Application
acceptance

Pay the fee and get started

Pay the fee
and get started

Send Your Application

Send your
Application

call counsellor

Get on a call
with a Counsellor

application acceptance

Application
acceptance

pay the fee and get started

Pay the fee
and get started

Before admission, we will facilitate a one-on-one counselling session that will focus on understanding the strengths and weaknesses of the participant. These sessions do not necessarily decide the participants' eligibility but help counsellors assist them with informed guidance prior to enrollment.

UPCOMING BATCHES

Super Early Bird Discount

Early Bird Discount

Standard Fees

Batch 62

Start Date
13th Apr 2024

Super Early Bird Enrollment Fees

6,499 (valid till 31st Jan 2024)

Early Enrollment Fees

7,199 (valid till 5th Mar 2024)

Standard Enrollment Fees

7,999 (valid till 5th Apr 2024)

Batch 63

Start Date
13th Jul 2024

Super Early Bird Enrollment Fees

6,499 (valid till 30th Apr 2024)

Early Enrollment Fees

7,199 (valid till 7th Jun 2024)

Standard Enrollment Fees

7,999 (valid till 6th Jul 2024)

batch 62

start date

13th Apr 2024

Early Bird Discount

7,199 Valid till 5th Mar 2024

7,999

Valid till 5th Mar 2024

Participants have the opportunity to receive additional financial aid on top of existing discounted fees. Connect with us to check eligibility.

FAQ

The standard fee for EPAT is $7999. The updated fee details are available here. Qualified applicants are provided with financial assistance and flexible payment plans.
Financial assistance provided to qualified applicants include but are not limited to the following:
  • Merit based scholarship - QuantInsti offers scholarship to deserving candidates who score well in the test available here
  • Student discounts - QuantInsti believes in investing in the future of tomorrow, the students of today. We have a discounted fee for full-time students.
  • Participants from Emerging Markets - Special consideration is given to participants from Emerging Markets so that the programme is more affordable.
  • Flexible Payment Plans - QuantInsti is partnered with financial institutes that provide education-related flexible payment plans to Indian resident participants.
  • This programme has been accredited under the IBF Standards, and is eligible for funding under the IBF Standards Training Scheme (IBF-STS), subject to all eligibility criteria being met. A participant must successfully complete the EPAT programme (including passing all relevant assessments and examinations) in order to be eligible. Prospective participants are advised to assess the suitability of the programme and its relevance to participants’ business activities or job roles.
    IBF-STS provides upto 50% funding for direct training costs subject to a cap of S$ 3,000 per candidate per programme subject to all eligibility criteria being met. This is applicable to Singapore Citizens or Singapore Permanent Residents, physically based in Singapore. Find out more on www.ibf.org.sg
  • Indian residents can avail of the rebate on the applicable fee of EPAT. The benefits can be availed by:
    • Direct Subsidy Benefits - Applicable to individuals with an annual income up to INR 2 million (Indian Rupees 20 lakhs) per annum
    • Employees of Public Sector Services/Enterprises (PSEs) & Stock/Commodity Exchanges and Regulatory bodies (SEBI, RBI, IRDA, etc), including retired employees from these enterprises.
    • Defence personnel (both current and ex-servicemen, including those served/serving under short service commission) & Medical professionals.
    • Full-time academia, including full-time students & full-time professors/lecturers.
Get in touch with our programme counselors here.
It is an online test comprising of college-level questions from relevant disciplines: Statistics, Financial Markets, Options, and Programming. For high scorers, a merit-based discount is applicable to their EPAT fees. You can take the test here. Please note, that you get only one attempt for the test.
It is a simple three step process:
  1. Submit your application form here.
  2. Wait for your application to get accepted.
  3. Pay the fees.
Soon after the successful receipt of your EPAT fees & acceptance, you are given access to the learning management system (LMS portal) and your EPAT journey begins!
Before admission, we offer to facilitate a one-on-one counselling session that will focus on understanding the strengths and weaknesses of the participant. These sessions do not necessarily decide the participants’ eligibility but help counsellors assist them with informed guidance prior to enrolment.
We provide an opportunity to clear all your doubts about the programme prior to enrollment. Also, you get access to a dedicated team support even before your EPAT programme starts. Therefore, we follow a no refund policy.
Yes, you can apply. College students can benefit from EPAT by making themselves “more recruitable” with the required practical skills in the financial markets domain. EPAT alumni include college students who bagged good roles after successful completion of their college degree and EPAT.
Please note that while QuantInsti offers lifetime placement services to all EPAT alumni, it does not guarantee any placements.
QuantInsti offers student discounts to all full-time students, which can be availed by sharing the valid college ID proof and other required documents.
Send us your details by filling the application form here and we will arrange a counselling call for you.
Traders and financial market professionals who don’t have programming experience, can benefit & prepare themselves for their EPAT journey with the help of the primer content shared upon your successful enrollment. This is a self-study, interactive module which helps you code, understand basics and prepare yourself for the classroom sessions which cover advance and complex concepts as well. The primer module also contains a test which helps participants assess their learning.
Yes, you can apply. If you are from engineering or quantitative sciences background, you might already have some basic exposure to the skills required for Algorithmic trading domain. To check your eligibility in EPAT, apply for the scholarship test here. EPAT counsellors will get in touch with you and guide you further.
For beginners in Quantitative domain, EPAT offers primer modules on Statistics, Econometrics, Options, Financial markets, Excel computation and Python programming along with assessment tests in each of these categories.
Historically, we have been running 4 batches of EPAT in a year.
The updated dates and fees related information is available here.
Although, the course duration is of six months, you get more time for self-study and prepare for the course if you enroll early.
The enrollment for a batch starts around four months prior to the actual programme start date. As soon as you enroll successfully, you are provided with access to the student portal where you start with the primer content. You prepare on topics like Statistics, Econometrics, Options, Financial markets basics, Excel computation and Python programming.
From the batch starting date till batch closing date, you will get a period of six months to attend lectures, complete assignments, tests, project work and take the final examination.
  1. This programme has been accredited under the IBF Standards, and is eligible for funding under the IBF Standards Training Scheme (IBF-STS), subject to all eligibility criteria being met. A participant must successfully complete the EPAT programme (including passing all relevant assessments and examinations) in order to be eligible. Prospective participants are advised to assess the suitability of the programme and its relevance to participants’ business activities or job roles.
    IBF-STS provides upto 50% funding for direct training costs subject to a cap of S$ 3,000 per candidate per programme subject to all eligibility criteria being met. This is applicable to Singapore Citizens or Singapore Permanent Residents, physically based in Singapore. Find out more on www.ibf.org.sg
  2. EPAT is accredited by CPD, UK (Continuing Professional Development, UK)
  3. QuantInsti has registered this program with GARP for Continuing Professional Development (CPD) credits. Attending this program qualifies for 30 GARP CPD credit hours. If you are a Certified Financial Risk Manager (FRM®), or Energy Risk Professional (ERP®), please record this activity in your Credit Tracker.
Before the starting of a batch or/and during the first month, the primer topics in the fields of Statistics, Econometrics, Options, Financial markets basics, Excel computation and Python programming are covered. There are short tests on each of these topics which allow participants to test their knowledge in these fields.

2 preparatory lectures have been introduced to EPAT: Lecture 1 - Python and Lecture 2 - Statistics. These lectures would be conducted 2 weeks prior to the beginning of EPAT lectures and would be extremely beneficial in establishing your base in these topics.

The first month is on introductory topics in Algorithmic Trading such as basic statistics, programming basics and understanding of order book & execution strategies so that a strong foundation is laid for the rest of the programme.
What kind of advanced topics are covered in the programme Advanced topics include time series analysis, machine learning in trading, event-based execution, market making, equities and ETF trading-based strategies, market microstructure, event-driven backtesting, and trading with mixture models among others. Different programming languages and tools used in the programme include Excel, Python, and Matlab. The programme allows participants to specialize in an asset class/strategy paradigm through project work which includes working under a domain expert's mentorship. To receive the detailed curriculum, please write to us at sales@quantinsti.com.
Typically 8-12 hours of self study, along with 6-8 hours of live lectures are required weekly to do well in the programme.
Your dedicated Support Manager will help you throughout the programme to ensure that you do not lag behind. Even if it happens, then depending on the completion date, you may choose the self-paced learning option available with a few months of extension. If you meet the minimum criterion for certification, you might be given the Certification of Participation in case you do not pass the final examination.
You can apply for a batch defer to a later one, before the starting date of your enrolled batch. If your application is complete along with all required documents and it fulfills the required criteria, you could be moved to a later batch.
The course participants who complete the coursework along with the final EPAT exam successfully are awarded ‘Certification of Excellence’. In case a participant is not able to clear the exam due to any reason but has completed most of the course work, (s)he would be awarded with a ‘Certification of Participation’.
The minimum requirements to be eligible for ‘Certification of Excellence’ includes certain percentage of
  • Attendance in lectures or time spent in watching the recordings
  • Score in quizzes and assignments
  • Score in the mid-term examination
  • Score in the final examination
EPAT Project is practical, self-driven, strategy creation or business related research work that participants carry out under mentorship of the respective domain expert. The project work is optional and carries no weightage in the final score. However, it serves as an excellent opportunity for the driven and motivated candidates to specialize in an asset class or strategy paradigm by working with relevant data and quant platform(s). Collaborative project work allows participants to work together with fellow classmates.
You will be required to work on different platforms and softwares in the programme. Most of these platforms and softwares are either open-sourced or their free/demo versions are available for EPAT participants. You would not be required to purchase any product for learning purposes. QuantInsti doesn’t sell or endorse any product used in the programme. It is only recommended for learning purposes.
You will be taught different strategy paradigms by experts in their domains. QuantInsti does not claim to offer ‘profitable strategies’. EPAT aims to deliver the concepts & advanced techniques to create various types of Quantitative Strategies.
EPAT curriculum includes topics on business environment and setting up on your trading desk in which participants get to interact live with faculty and experts who have domestic and international experience in running Algorithmic & Quantitative trading, including HFT business. The participants are exposed to the dynamics involved in setting up an algorithmic trading desk.
You need to have:
  1. A personal computer with the minimum configuration as: Operating system such as Windows: (Windows 8, Windows 8.1, Windows 10) or Mac: Mac (v 10.10), Mac(v 10.11), Mac(v 10.12), Mac(v 10.13). Additionally, you will need some software/programming languages installed on your system in order to have hands-on experience as well as finishing the program. List of required software and the installation manuals will be shared with you before the programme starts.
  2. Language skills: You should be able to understand spoken and written English well.
  3. Enough time and motivation: You should be able to devote 10-15 hours on a weekly basis at the least. The more the better!
Career Assistance: Continual career guidance from the experts! One of the EPATians got placed after 6 years of completing EPAT.
Lifelong learning content: EPAT alumni keep themselves up-to-date with the latest EPAT content curated by the experts.
Ancillary resources and services (Quantra, Blueshift): EPAT alumni are given access to ancillary services including access to the trading platform, special discounts on quantitative trading related events & resources, invitations to conferences, sometimes exclusively!
Access to Quant network: Opportunity to connect with EPATians from 90+ countries, helping to create a global network of Quants and Algo traders. Country specific meetups are arranged for participants/alumni and faculty to get together occasionally.
Exclusive Invites to Webinars and Workshops for EPAT alumni: They attend the Guest lectures conducted by industry stalwarts.
You can find more details on our Alumni page.
The following are some of the novel features of the Executive Programme in Algorithmic Trading (EPAT):
Specialized EPAT environment: Set up your very own customized yet comprehensive virtual environment in just one go. It helps you overcome the challenges usually faced by individuals while learning to code in a hassle-free and seamless manner.
Bonus study material for increasing fluency in Python: Exclusive practice materials are provided to participants who complete the assigned activities diligently and timely. This gives you an edge during the selection, job assignment and interview processes.
New Assignments: Topics ranging from Machine Learning, Natural Language Processing, to High Latency Trading, Market Microstructure and more, a variety of assignments equip you with the latest techniques used in the industry.
Cloud infra for Trading: A dedicated session on one of the most sought-after topics, it dives into the whats, hows, whys, applications, setting up and deploying strategies on cloud infrastructure, challenges, and much more.
EPAT guided mini-projects: Tackle everyday real-world problems with two 10-day, optional, highly recommended guided projects that consist of Python-based coding. These are in addition to the main project in EPAT.
Career building: One of its kind EPAT-exclusive online sessions to assist participants. Get guidance in decoding job descriptions and prepare you for quant roles for opportunities with 300+ placement partners across 20 countries.
Yes, you can attend a few classroom sessions in Mumbai, India, when the concerned faculty is based in Mumbai. Since most of the faculty members are located outside Mumbai, even if you are present in the QuantInsti classroom, you will be attending the lecture online. The weekly announcements mentions about the sessions happening in Mumbai.
Yes, you can attend the sessions on the go using the required apps on smartphones and tablets. But we recommend attending sessions on your laptop/desktop as most of the sessions are hands-on.
It is 100% online. You can opt for writing the exam at your nearby centre of our exam partner or remotely from home, given the pre-requisites are met.
In many ways:
  • The curriculum is practice oriented. It is designed by practitioners who try to ensure that you learn the concepts really well from practitioner perspective.
  • During practical sessions, the faculty would ask you to work along on your machine and might even quiz you in between and interact with you personally
  • We believe in data, data, data. Almost every concept is discussed around data from financial markets.
  • You would need to practice a lot on your own. This will be ensured through assignments which are open-ended and are individually graded.
No, you will not trade in live markets during the lecture hours or in the classroom sessions. However, you will be taught to paper trade and experts will share nuances that differ paper and live trading environment. When you take your strategies live and have doubts, as EPAT participant/alumni, you can get the required guidance from the faculty.
In many ways:
  • During the lecture you get to interact with the faculty
  • Post or before the lecture, you get to share your doubts and queries which will be resolved by the faculty
  • During EPAT project work, you get to work under mentorship of a faculty member
  • You can also interact with faculty through your support manager anytime!
  • A dedicated Support Manager who will guide you for the entire period of six months. Your manager will resolve your doubts and keep you motivated and engaged in this new and demanding career path
  • You will get advice and answers from the faculty members who are industry practitioners
  • You get career assistance from the career team, you will get help in building your resume, career counselling and more. You will start receiving job postings from the very first month
  • We will share with you additional links & content to further enhance your learning
  • Dedicated alumni cell is available post completion to help them grow in the algo domain and network with fellow alumnus
  • Life long access to updated lecture notes and videos after you complete EPAT course successfully.
QuantInsti provides you with two books to be referred to during the programme.
  • Trading and Exchanges: Market Microstructure for Practitioners - Larry Harris
  • Algorithmic Trading: Winning Strategies and Their Rationale - Dr. Ernest P. Chan (Also a faculty member)
Before starting EPAT, we provide primer modules to give you a head start and familiarize you with basics concepts and tools used during the programme. We also share additional links & content to further enhance your learning.
The total duration of the course is 6 months. It comprises of 4 parts:
  • Live Lectures
  • Test & Assignments
  • Live Project (optional)
  • Final Examination
Each lecture would ideally be of around 3 hours in duration, with two lectures in a week. The lectures take place over the weekends. To receive the detailed curriculum, please do write to us at sales@quantinsti.com.
EPAT Exams are conducted at the Prometric centres globally. Every year, there are four exam windows/weeks, during which you can schedule your own exam based on the availability of the slot at the nearest Prometric centre in your country. You may also write exam using the Remote proctoring basis availability.
Your account manager will help you with the details. Just share your city, country and the postal code with your account manager and (s)he will share the nearest centre. Also, with every batch, new centres are added, hence, you should check for the exam centre for the upcoming exams only.
We understand your concern and respect the efforts that you put to learn. So, we may provide you with a chance for re-attempting the exam. You can check with your support manager for detailed process. Re-scheduling charges may be applicable for the scheduling the exam beyond your batch exam window.
One month prior to the exam, you will get an email from the Support team, explaining the process for scheduling your exam. Additionally, you may call your support manager who will guide you to schedule your exam.
We have a dedicated in-house career cell that addresses any career related queries. The career cell receives job openings from 300+ placement partner firms from different countries.
Apart from sharing job opportunities, career cell conducts resume strengthening trainings, mock interviews, and provides you with sample assignment questions to prepare you for selection procedure. Placement assistance starts from the very first month and continues post course completion.
Short answer: No. We give placement assistance to all interested participants and alumni and try our best to find the appropriate match, however we don't guarantee getting a job, as it depends on many factors including but not limited to participants’ skillsets, past experience, performance in interview among others.
We do have placement partner firms in various parts of the world. We see most opportunities coming from US, India, Singapore, and Hong Kong.
QuantInsti strives to bring all possible roles in Algorithmic Trading to our participants. Some of these profiles include:
  • Developer
  • Quant Analyst
  • Quant Researcher
  • Trader
  • Strategist
You can read more about this here.
Knowing programming languages and coding is required for backtesting & automating your strategies hence candidates from coding background have an advantage. Companies are on a lookout for candidates with exposure to technology and finance both.The most suitable profile for them is a Quant Developer or Coder, however they can explore other roles as well.
Yes, we get internship, full-time employment, & freelancing opportunities from our partnered firms.
We see a few candidates placed almost every month. Some of these details are shared in our monthly newsletters. Please do write to us at sales@quantinsti.com if you want more information.
Job opportunities and offers depend on a number of factors such as educational background, Graduate/Post Graduate College/University, Certifications/Internships/Projects, past work experience, etc. Companies are generally looking for someone who has exposure to Tech & Finance background both.
Some examples of recent job opportunities & salary packages that we have shared with our participants through QuantInsti’s career cell are
  • Quant Trader: Up to INR 2.5 million per annum + PNL/ Performance Bonus,
  • HFT Trader: Up to INR 2.5 million per annum + PNL/ Performance Bonus,
  • Data Scientist: Up to INR 2 million per annum,
  • Quant Research Analyst: Up to INR 2.5 million per annum,
  • Quantitative Trader: Up to USD 200,000 per annum + PNL Bonus,
  • Quantitative Research: Up to USD 80,000 per annum,
  • Quantitative Developer: Up to USD 100,000 per annum
We are currently partnered with 300+ companies, that includes Algo trading/HFT firms, investment banks, trading and brokerage houses, consulting companies. A partial list is available here.
QuantInsti provides innovation and solutions to bridge the gap between finance and technology in the changing phase of the industry. It serves individuals, businesses, exchanges, data providers, brokers and other technology providers to achieve their common goal of excelling in Quant & Algo trading. QuantInsti provides both paid and free services to the industry.
  • Dedicated programme for professional & career growth: EPAT®
EPAT® certification & placement services allow motivated individuals to build an exciting career in Algorithmic & Quantitative trading.
  • Learn interactively at your own pace: Quantra®
Quantra is an e-learning portal that offers short, self-paced, interactive courses in topics such as Python for Trading, Machine Learning, Options Trading and many more, allowing a participant and businesses to pick and choose the skill set(s) they want to specialize into.
  • Backtesting platform with historical data: Blueshift
You can code & backtest your strategies for the Indian & US markets (on daily & minute level data) with Blueshift.
  • The Certificate In Sentiment Analysis And Alternative Data For Finance (CSAF™)
CSAF™ is an instructor-led course designed for finance professionals by leading Algorithmic Traders, Sentiment Pundits, Quantitative Modelling experts and HFT thought leaders.
  • Free Services
    • Webinars
    • Blogs, tutorials and trading models
    • Algorithmic trading workshops, events and modules for exchanges and industry
It is located in India. The complete address is A-309, Boomerang, Chandivali Farm Road, Powai, Mumbai – 400 072.
QuantInsti® was founded by Algorithmic & High Frequency Traders and Experts, who also founded iRage, a leading HFT firm in Asia. On the advisory board are Dr. Ernest P. Chan and Prof. Gautam Mitra, both practitioners and academicians, globally renowned in their domains. The dedicated team of traders, trainers, developers and renowned expert faculty members from all across the world run the show currently. Know more here.
About IBF Certification
IBF Certification is an industry endorsed mark of quality for finance professionals in Singapore. Individuals who successfully complete an eligible IBF-Standards Training Scheme ("IBF-STS") accredited training and assessment programme and meet the relevant criteria may apply for IBF Certification. More information on IBF Certification can be found in here.
Yes, EPAT is accredited by The Institute of Banking and Finance (IBF, Singapore) under the IBF Standards. This is applicable to Singapore Citizens or Singapore Permanent Residents, physically based in Singapore.
EPAT is accredited by IBF-STS.
This programme has been accredited under the IBF Standards, and is eligible for funding under the IBF Standards Training Scheme (IBF-STS), subject to all eligibility criteria being met. A participant must successfully complete the EPAT programme (including passing all relevant assessments and examinations) in order to be eligible. Prospective participants are advised to assess the suitability of the programme and its relevance to participants’ business activities or job roles.
IBF-STS provides upto 50% funding for direct training costs subject to a cap of S$ 3,000 per candidate per programme subject to all eligibility criteria being met. This is applicable to Singapore Citizens or Singapore Permanent Residents, physically based in Singapore.
Find out more on www.ibf.org.sg.
  1. You need to be a Singapore Citizen or Permanent Resident, physically based in Singapore
  2. You must successfully complete the EPAT programme (including passing all relevant assessments and examinations) in order to be eligible
  3. You must attend at least 75% of the training
For more details, please book a call with counsellor.
Singapore Citizens or Singapore Permanent Residents, physically based in Singapore are eligible for STS funding, given they meet the defined criteria. Find out more on www.ibf.org.sg.
No, you cannot claim any other grant if you are claiming this subsidy from IBF. You should not be claiming for any other grants, subsidies, or tax concessions, provided either by the Financial Sector Development Fund (FSDF) and/or Singapore government agencies, unless explicitly permitted.
Batch deferment and self-study is not allowed for participants applying for grants from IBF-STS. You need to complete the programme by writing examinations being conducted with your batch.
As per the process, you need to confirm your application for the IBF-STS grant before you enroll into the programme, as the same needs to be communicated to the IBF-STS team at the time of batch registration.
The grant would be rejected, if you fail to meet the 50% score criterion. In which case, you would be required to pay the balance amount.
The programme works on a Nett fee model, i.e. you need to pay only the difference between the fee, and the funding amount at the time of enrollment. QuantInsti will claim the funding amount from IBF-STS on completion of the programme. In case you fail to complete the programme with the required score in programme, or if the claim raised by QuantInsti is rejected by IBF, then you are liable to pay the funding amount to QuantInsti.
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