A Structured Curriculum For
Every Skill Level
EPAT® is not a self-paced introductory course. It is a structured, instructor-led ecosystem that adapts to your current skill level and pushes you toward professional-grade algorithmic execution.
The Aspiring Quant (Foundational)
For STEM graduates and finance professionals. Build a technical foundation in Python for finance and statistical modeling from the ground up.
The Market Practitioner (Intermediate)
For manual traders. Learn to digitize your logic, remove emotional bias, and implement rigorous backtesting for Automated Trading.
The Industry Veteran (Professional)
For Portfolio Managers and Desk Leads. Integrate AI & ML and alternative data into your workflow to remain competitive in the 2026 market regime.
Why EPAT® Is Chosen By
Professionals
US firms filter for “desk-ready” proficiency. Low-cost asynchronous platforms provide information; EPAT provides implementation.
| Feature | Self-Paced / Entry-Level Courses | EPAT® |
|---|---|---|
| Instruction | Pre-recorded videos / Theory-based | Live sessions with Experienced Industry Practitioners |
| Evaluation | Informal quiz / Auto-generated | Proctored global examination through Prometric® |
| Infrastructure | Video only | Access to Institutional-grade CEP engine (Blueshift) |
| Support | Community forums | Personalized mentorship and lifetime career assistance |
Learn Directly From Industry
Experts & Market Practitioners

Dr. Robert Kissell
President, Kissell Research Group; Former Executive Director at UBS and JP Morgan. A leading authority on Market Microstructure and author of The Science of Algorithmic Trading.

Dr. Thomas Starke
CEO, AAAQuants; Former Research Fellow at Oxford University. Specialist in AI & ML for portfolio management with experience at proprietary firms like Vivienne Court and Rolls-Royce.

Dr. Yves J. Hilpisch
CEO, The Python Quants. Global authority and author of Python for Algorithmic Trading. Specialist in AI-driven modeling and building cloud-based trading infrastructure.

Nitesh Khandelwal
CEO, QuantInsti; Co-founder, iRage (Leading HFT firm). An IIT Kanpur and IIM Lucknow alumnus, he specializes in building Automated Trading Desks, regulatory compliance, and the financial architecture of professional trading systems.

Rajib Ranjan Borah
CEO, iRage (Leading HFT firm). Former Optiver (Amsterdam) trader and Bloomberg (New York) researcher. He specializes in High-Frequency Trading (HFT), low-latency architecture, and derivatives strategy design.

Vivek Krishnamoorthy
Head of Content & Research, QuantInsti. An MBA from NTU Singapore and co-author of Python Basics. He specializes in Time-Series Modeling, volatility forecasting, and Pythonic backtesting frameworks.
300+ Placement Partners












A Complete Technical Stack For Modern Trading
Primers
Statistics, Python, and Financial Market Foundations.
Quantitative Techniques
Market Microstructure, Econometrics, and Portfolio Optimization.
Advanced Modeling
AI & ML for Trading, Sentiment Analysis, and Risk Management.
Execution
Technical Infrastructure, API Integration, and Hands-on Project Work.
The Global Benchmark For
Professional Credibility


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

EPAT is accredited by CPD, UK (Continuing Professional Development, UK)
Learner Reviews
We have a 4.8 rating out of 300+ Google reviews
Alumni Privileges &
Lifetime Benefits
Lifetime Learning Access
Lifetime access to the Learning Management System. As we update the curriculum with new AI & Machine Learning modules or market protocols, your resource library stays current at no extra cost.
Lifetime Career Support
Your commitment extends indefinitely beyond certification. You gain lifetime career assistance, including resume validation, interview coaching, and direct visibility with our network of 300+ global hiring partners (proprietary trading firms, hedge funds, and banks) whenever you are ready to pivot or advance.
Entrepreneurial Guidance
For professionals looking to launch their own desk or fund, we offer strategic mentorship and industry connections to help navigate the setup of proprietary trading infrastructure.
Global Networking
Access exclusive, invitation-only meetups and webinars in major financial hubs (New York, London, Singapore, Mumbai), facilitating high-value peer exchange beyond the classroom.
An Efficient Alternative To
Traditional Quant Degrees
Traditional MS Quant programs cost $40k–$90k and require 12–24 months full-time. EPAT® delivers desk-ready quant trading skills in 6 months, alongside your career. Admission is selective by design, applicants complete an eligibility discussion before enrollment.
Super Early Bird Discount
Early Bird Discount
Standard Fees
Start Date
11th Apr 2026
Super Early Bird Enrollment Fees
7,799 (valid till 30th Jan 2026)
Early Enrollment Fees
8,599 (valid till 7th Mar 2026)
Standard Enrollment Fees
9,499 (valid till 3rd Apr 2026)
Start Date
11th Jul 2026
Super Early Bird Enrollment Fees
6,999 (valid till 30th Apr 2026) 7,799 800 OFF | Limited Period
Early Enrollment Fees
8,599 (valid till 5th Jun 2026)
Standard Enrollment Fees
9,499 (valid till 3rd Jul 2026)
Start Learning Now!
Batch 71
2333/month*
for 3 Months
Get 3 installments at
0% APR
DISCLAIMER: Systematic trading involves risk. EPAT provides the toolkit, not a guaranteed "edge." Profitability depends on research, risk management, and effort. Alumni results are not a guarantee of future performance.
