Quant Research Analyst

Qode Advisors Llp; Mumbai; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

Qode Advisors Llp in Mumbai is seeking researchers who design and backtest systematic trading strategies across equities and derivatives. You will break research problems into structured, testable sub-problems and build hypothesis-driven pipelines to generate robust insights.

This role emphasizes first-principles thinking, handling large datasets, and collaboration with quant developers to move research into production.

Qualifications

• Ability to design and backtest systematic trading strategies.
• Experience handling large datasets and applying statistics.
• Strong foundation in first-principles thinking and structured problem solving.

Responsibilities

• Design and backtest systematic trading strategies across equities and derivatives
• Break large research problems into structured, testable sub-problems
• Build hypothesis-driven research pipelines
• Validate ideas using rigorous statistical testing
• Stress-test strategies across regimes, volatility environments, and liquidity conditions
• Think in terms of portfolio construction, not isolated trades
• Continuously refine methodology to improve robustness
• Collaborate with quant developers to transition research into production

Skills

Quant research

Quant trading

Systematic trading

Python

SQL

Backtesting

Data analysis

Research reporting

Job description

We are looking for researchers not traders.

People who:

• Break problems into components before solving them
• Think from first principles
• Care about methodology more than excitement
• Prefer structured thinking over shortcuts
• Want to build something that compounds over years
• “Why does this work?”
• “Under what regime does this fail?”
• “Is this statistically significant or noise?”
• “What is the structural edge here?”

Then this role is for you.

What You Will Do

• Design and backtest systematic trading strategies across equities and derivatives
• Break large research problems into structured, testable sub-problems
• Build hypothesis-driven research pipelines
• Validate ideas using rigorous statistical testing
• Stress-test strategies across regimes, volatility environments, and liquidity conditions
• Think in terms of portfolio construction, not isolated trades
• Continuously refine methodology to improve robustness
• Collaborate with quant developers to transition research into production

Your work will directly impact live capital.

What We Value

1. First-Principles Thinking

You don’t rely on indicators because “they work.”

You ask:

• What inefficiency am I exploiting?
• Is it behavioral, structural, or microstructural?
• Why should this persist?

You:

• Write down assumptions
• Control for overfitting
• Run parameter sensitivity tests
• Test robustness before celebrating results

3. Process Orientation

• Iterate systematically

4. Long-Term Thinking

• Robustness over curve-fit returns
• Consistency over temporary spikes
• Systems that scale
• Compounding intellectual capital

5. Technical Strength

• Comfortable building backtests from scratch
• Ability to handle large datasets
• Familiarity with statistics and probability
• SQL is a plus

You should be able to:

• Write clean, modular research code
• Avoid lookahead bias
• Simulate slippage and realistic execution
• Generate structured performance reports

The Intangible

We are looking for someone with:

• Fire in the belly
• Curiosity beyond working hours
• The hunger to build something meaningful
• The ambition to push forward with original ideas

This Role Is Not For

• Discretionary traders
• Indicator-based retail strategy builders
• People looking for a comfortable 9-5
• Those who cannot code their own research

What You’ll Get

• Direct exposure to live systematic capital
• Freedom to research deeply
• A high-performance environment
• The opportunity to grow into senior research or portfolio roles
• The ability to shape the firm’s long-term intellectual edge

Required Skills

"Quant research" quant trading strategies systematic trading Python stocks Research SQL backtest