EPAT is one of the best algo trading courses. Are you looking to get a new job, start your own trading desk, or get better opportunities in your current organization? This quantitative trading course is designed for professionals looking to grow in the field of algorithmic and quantitative trading.


Get access to the most comprehensive quant trading curriculum in the industry. Learn from a world-class faculty pool. Experience personalised learning with best-in-class support. Complete specialisation in desired asset classes and trading strategy paradigms with live project mentorship.


09 October, 2021 6 months

09 October, 2021

6 months

programme 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 4.7 rating out of 110+ 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.

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.

100+

Hours Live Lectures

15+

World Class Faculty

170+

Hiring Partners

60

Countries Alumni Network

PLACEMENT PARTNERS

Reliance Securities
Tower Reseach India
Ernst & Young
Phillip Capital
Edelweiss

programme 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

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+91-9876543210

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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
  • Detailed understanding of ‘Orders’, ‘Pegging’, ‘Discretion Order’, ‘Blended Strategy’
  • Market Microstructure concepts, order book, market microstructure for high frequency trading strategy
  • Implementing Markow model and using tick-by-tick data in your trading strategy
  • 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
  • Modeling data with AI, index and predicting next day’s closing price
  • Supervised learning algorithms, Decision Trees & additive modeling
  • Natural Language Processing (NLP) and Sentiment Analysis
  • Confusion Matrix framework for monitoring algorithm’s performance
  • Logistic Regression to predict the conditional probability of the market direction
  • Ridge Regression and Lasso Regression for prediction optimization
  • Understand principle component analysis and back-test PCA based long/short portfolios
  • Reinforcement Learning in Trading
  • How to build trading Systems while not overfitting
  • 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

This programme has been accredited by The Institute of Banking and Finance (IBF, Singapore) under the IBF Standards. IBF-STS provides upto 90% funding for direct training costs subject to a cap of S$ 7,000 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

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

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.

QuantInsti

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Faculty Members

Anil Yadav

Anil Yadav

Anil Yadav is a member of the algo strategy advisory team at iRageCapital and is responsible for building and benchmarking strategies for the clients across various asset classes. Prior to iRage, Anil has worked as an independent commodities trader managing a portfolio of metals and energy products.

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 attained a BSc in Economics from North-eastern University in Boston, MA and received the Chartered Financial Analyst (CFA) designation in 2016.

Dr. Ernest P. Chan

Dr. Ernest P. Chan

Ernie is the Managing Member of QTS Capital Management, LLC. He is also the Founder and CEO of PredictNow.ai. He has authored multiple books, teaches courses and conducts workshops in trading and finance in Australia, Canada, Singapore, the United Kingdom, and the United States.

Dr. Euan Sinclair

Dr. Euan Sinclair

Dr. Euan has more than 2 decades of Options trading experience. He's currently the partner at Talton Capital Management, a volatility trading fund. He holds a Ph.D. in theoretical physics from the University of Bristol and has written two books, “Volatility Trading” and “Option Trading”, both published by Wiley, as well as numerous papers and articles.

Dr. Gaurav Raizada

Dr. Gaurav Raizada

Dr. Gaurav is a Director at iRage Capital Advisory Pvt Ltd, the Chief Investment Officer for iRage Master Trust Investment Managers LLP and a Designated Partner for iRage Broking LLP. He has consulted extensively with core focus on strategy development and execution, including trading systems development, optimization and transaction cost analysis.

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 Forex market. Running River Investment LLC is a private hedge fund specialized in the development of automated trading strategies using Python.

Ishan Shah

Ishan Shah

Ishan has done B.E. Information Technology from D J Sanghvi College of Engineering and PGDBM from Sydenham Institute of Management. He has a rich experience in financial markets spanning across various asset classes in different roles. He works with Quantra® content development team and has prior experience in Barclays, Bank of America Merrill Lynch and RBT Algo Systems

Nitesh Khandelwal

Nitesh Khandelwal

Nitesh has a rich experience in financial markets spanning across various asset classes in different roles. He is also the Co-founder of iRageCapital Advisory Pvt Ltd and QuantInsti Quantitative Learning Pvt Ltd. At QuantInsti® he leads the overall business & is in-charge of new initiatives & ventures by QuantInsti®.

Nitin Aggarwal

Nitin Aggarwal

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

Prodipta Ghosh

Prodipta Ghosh

Before joining QuantInsti as Vice President, 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. Prior to that, Prodipta worked as a scientist in India’s Defence R&D Organization (DRDO).

Rajib Ranjan Borah

Rajib Ranjan Borah

Rajib is the Co-founder & Director of iRageCapital Advisory Pvt Ltd & QuantInsti Quantitative Learning Pvt Ltd. He has conducted workshops in the United States, Europe and Asia and is a visiting faculty in finance & accounting department for the flagship MBA program at IIM-A, one of the globally leading B-School.

Dr. Thomas Starke

Dr. Thomas Starke

Tom is the CEO of AAAQuants and the co-founder of pSemi. With a remarkable career spanning working with Vivienne Court, Memjet Australia, and Rolls-Royce Plc (UK), he has conducted workshops and presentations on algorithmic trading around the world. A PhD Physics degree holder, he was a senior research fellow at Oxford University.

Vivek Krishnamoorthy

Vivek Krishnamoorthy

Vivek has a Bachelors' in Engineering, an MBA, and a Graduate Certificate in Public Policy. He is also an aspiring actuary and has cleared six papers of the Institute of Actuaries (and was a country topper in one of them). He has over 12 years of experience across India, Singapore and Canada in industry, academia and research.

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 for Computational Finance—Miami, USA & Riga, Latvia.

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.

Fees

$ 7,499

Scholarship and Financial Aid available for the deserving candidates

Schedule

We have four batches in a year. Duration of the programme is 6 months. The tentative programme start dates are:

BatchStart Date
5209 October, 2021
5308 January, 2022
For the EPAT® programme batch starting from 09 October, 2021, the standard fee is $6899. For Indian resident participants, the discounted fee is ₹2,64,989 (plus taxes). The updated fees details are available here. Qualified applicants are provided with financial assistance and flexible payment plans. EPAT fee will be updated from Batch 52 starting in October 2021.
Financial assistance provided to qualified applicants include but are not limited to the following:
  • Merit based scholarship - QuantInsti offers scholarship to deserving candidates who score well in the test available here
  • Student discounts - QuantInsti believes in investing in the future of tomorrow, the students of today. We have a discounted fee for full-time students.
  • Participants from Emerging Markets - Special consideration is given to participants from Emerging Markets so that the programme is more affordable.
  • Educational Loans - QuantInsti is partnered with financial institutes who provide education related loans to the Indian resident participants.
  • This programme has been accredited under the IBF Standards, and is eligible for funding under the IBF Standards Training Scheme (IBF-STS), subject to all eligibility criteria being met. A participant must successfully complete the EPAT programme (including passing all relevant assessments and examinations) in order to be eligible. Prospective participants are advised to assess the suitability of the programme and its relevance to participants’ business activities or job roles.
    IBF-STS provides upto 90% funding for direct training costs subject to a cap of S$ 7,000 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
Get in touch with our programme counselors here.
QuantInsti has partnered with government approved NBFCs to facilitate 0% financial assistance with minimal documentation for the Indian resident participants. To apply for the assistance, you would be required to share following documents with QuantInsti:
  1. First and Last Name
  2. Scanned Copy of PAN Card & Aadhaar Card - This will help to generate your CIBIL score
  3. Last three months pay slip (in case of a salaried employee) or last three year filed ITR (in case of self-employed)
  4. Last 4 months bank statement
Once you share the mentioned documents, your programme manager will connect you with the respective NBFC associates. Respective NBFC will share the sanction letter (loan approval letter) on loan approval, and you can proceed with the downpayment as per the plan agreed with the NBFC associate.
On receipt of a defined downpayment and the payment from partnered NBFC, you'll get access to the Learning Management System (Primer Modules) to kick off your Algo and Quant learning journey.
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 90% funding for direct training costs subject to a cap of S$ 7,000 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.
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, trading with mixture models among others. Different programming languages and tools used in the programme include Excel, R, Python, and Matlab. The programme allows participants to specialize in an asset class/strategy paradigm through project work which includes working under a trader’s mentorship. To receive the detailed curriculum, please do 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 70+ 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.
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 170+ 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
  • Data Scientist: INR 1.5 million per annum,
  • Algo Trader: INR 800,000 per annum + incentives,
  • HFT trader: up to INR 2 million per annum,
  • Quant Research Analyst: INR 2 million per annum,
  • Quantitative Research: AED 1,00,000 + up to 40 % incentives per annum,
  • Trader: SGD 120,000 + performance linked bonus per annum,
  • Trader Derivatives: HKD 384,000 per annum + performance linked bonus
We are currently partnered with 170+ 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.
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.
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 90% funding for direct training costs subject to a cap of S$ 7,000 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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