Thu, 9 July

9:30 AM EDT

7:00 PM IST

9:30 PM SGT

What This Session Covers

This is a live, open Q&A with one of the co-founders of Asia’s leading algo trading firm. We will navigate the conversation across three areas, and the audience will drive the depth.

By the end of this session, you will have:

What structured learning in quant and algo trading really looks like

Honest insights into careers, transitions, and outcomes

A practical view of modern systematic trading, tools, and risk

Direct answers to the questions holding you back

Event Schedule | 9 July

Event Schedule | 9 July

9:30 AM EDT

7:00 PM IST

9:30 PM SGT

QuantInsti & the Path to Structured Learning
The session explores audience questions around what QuantInsti is, how its programmes are built, and what structured learning in this domain actually looks like versus self-directed approaches.
  • What structured learning in quant and algo trading involves: depth, design philosophy, and the kind of learner it fits.
  • How QuantInsti’s programmes are built: the role of real-world practitioners in curriculum design.
  • Self-learning vs. structured programmes: what the difference looks like in practice, and where each path leads.

Outcomes, Careers & What Comes Next
Audience questions on career outcomes, from transitions into the industry, to running your own trading desk, to what practitioners at firms like iRage actually do day to day.
  • Career paths available in the quant and algo trading domain across geographies
  • What it takes to pivot into the industry from finance, tech, or a discretionary trading background
  • Setting up your own systematic trading desk or venture, what the journey looks like
  • How outcomes differ based on profile, background, and the level of commitment brought in

Learning in Quant & Algo: The Domain Itself
Questions on the domain, the skills that matter, the tools shaping modern systematic trading, and the honest picture of what it takes to go from learner to practitioner.
  • Where to start if you are coming from a non-coding or non-finance background
  • How Python and AI have changed what is possible for systematic traders in 2025
  • What separates a learner from a practitioner, and what closes that gap
  • Open floor: audience questions not covered in earlier segments

Who Should Attend?

Career Pivoters

Explore a realistic path into algorithmic and systematic trading careers.

Discretionary Traders

Transition from intuition-driven trading to systematic, data-driven decision making.

Desk Builders & Firm Founders

Build the skills needed to launch and run trading ventures.

Finance & Trading Professionals

Upgrade your market expertise with quantitative and systematic trading methods.

Tech Professionals

Apply coding skills to financial markets and build trading systems.

Meet the Speaker

Nitesh Khandelwal

Nitesh Khandelwal

Co-Founder & CEO, QuantInsti
Co-Founder, iRage
Senior EPAT Faculty

Nitesh Khandelwal is the Co-Founder and CEO of QuantInsti, and Co-Founder of iRage, one of Asia’s most respected algorithmic and high-frequency trading firms. With over 15 years of experience at the intersection of quantitative research, technology, and markets, Nitesh has been central to building both the institution and the trading firm from the ground up. As Senior Faculty on the EPAT programme, he brings direct institutional experience into the curriculum. This AMA is a rare opportunity to ask him anything, on the programme, the domain, and the career.

Why Attend This Event?

Your opportunity to get unfiltered answers from the co-founder.

If you are looking for:

  • Direct answers from the people who built EPAT and QuantInsti
  • Clarity on whether EPAT fits your background, goals, and timeline
  • A realistic view of algo trading as a career, beyond the marketing
  • How AI and Python are reshaping systematic trading today
  • What EPAT graduates achieve and the paths they take
  • Clear next steps, whether that's EPAT or exploring the domain further

This event is for you!

Why Attend

Register Now

About QuantInsti

About QuantInsti

Built on 15+ Years of Learning, Research & Impact

Founded by partners of iRage, Asia’s leading Algo Trading Firm. QuantInsti is a global leader in algorithmic and quantitative trading education and technology. Over the last 15+ years, we’ve built a comprehensive ecosystem of learners, traders, researchers, and professionals across 190+ countries. Our programmes combine theory, coding, real-market data, and institutional best practices, helping learners transition from concepts to live trading systems.

Executive Programme In Algorithmic Trading

EPAT is QuantInsti’s flagship programme designed for those serious about building a career or long-term expertise in algorithmic trading.

When you learn algorithmic trading with EPAT, you’ll be able to:

  • Develop and deploy automated trading strategies
  • Work with Python, AI, and advanced statistical models
  • Analyse real-market data across asset classes
  • Design robust risk management frameworks
  • Learn directly from industry practitioners
  • Earn a globally recognised certification

300+

Hiring Partners

13,000+

5 Star Ratings & Reviews

190+

Countries Reached

120+

Hours of Live Lecture

20+

Expert Faculty

Bring your questions and get direct answers on EPAT, careers, and the path from learner to practitioner.

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