Quant Research Analyst

Who This Role Is For

We are looking for researchers not traders.

People who:

1. Read papers for curiosity
2. Break problems into components before solving them
3. Think from first principles
4. Care about methodology more than excitement
5. Prefer structured thinking over shortcuts
6. Want to build something that compounds over years

If you enjoy asking:

1. “Why does this work?”
2. “Under what regime does this fail?”
3. “Is this statistically significant or noise?”
4. “What is the structural edge here?”

Then this role is for you.

What You Will Do

1. Design and backtest systematic trading strategies across equities and derivatives
2. Break large research problems into structured, testable sub-problems
3. Build hypothesis-driven research pipelines
4. Validate ideas using rigorous statistical testing
5. Stress-test strategies across regimes, volatility environments, and liquidity conditions
6. Think in terms of portfolio construction, not isolated trades
7. Continuously refine methodology to improve robustness
8. 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:

1. What inefficiency am I exploiting?
2. Is it behavioral, structural, or microstructural?
3. Why should this persist?

2. Methodology Over Excitement

You:

1. Write down assumptions
2. Define variables clearly
3. Control for overfitting
4. Document experiments
5. Run parameter sensitivity tests
6. Test robustness before celebrating results

3. Process Orientation

You can:

1. Break a vague idea into a step-by-step research framework
2. Structure experiments
3. Iterate systematically
4. Maintain reproducible workflows

4. Long-Term Thinking

You care about:

1. Robustness over curve-fit returns
2. Consistency over temporary spikes
3. Systems that scale
4. Compounding intellectual capital

5. ‎Technical Strength

Strong Python (pandas, numpy, vectorization, data manipulation)

1. Comfortable building backtests from scratch
2. Ability to handle large datasets
3. Familiarity with statistics and probability
4. SQL is a plus

You should be able to:

1. Write clean, modular research code
2. Avoid lookahead bias
3. Simulate slippage and realistic execution
4. Generate structured performance reports

The Intangible

We are looking for someone with:

1. Fire in the belly
2. Intellectual honesty
3. Curiosity beyond working hours
4. The hunger to build something meaningful
5. The ambition to push forward with original ideas

This Role Is Not For

1. Discretionary traders
2. Indicator-based retail strategy builders
3. People looking for a comfortable 9–5
4. Those who cannot code their own research

What You’ll Get

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

Required Skills

"Quant research"quant tradingstrategiessystematic tradingPythonstocksResearchSQLbacktest