Quantitative Researcher

Job Description -
We are seeking a Quantitative Researcher to us across Indian markets (NSE/BSE/MCX/INX) from IITs / IIMs only. The role includes market microstructure research, alpha signal development, statistical modeling, and collaboration with traders and engineers to deploy strategies into production.

Responsibilities -

• Analyze high-frequency tick data to identify alpha opportunities

• Develop statistical/predictive models, features, and trading signals

• Study market microstructure (auctions, liquidity, volatility regimes)

• Build robust backtests and simulation environments

• Work with C++ quant developers to productionize models

• Collaborate with traders on execution logic and risk parameters

• Monitor live performance, model decay, and PnL attribution Required Skills

• Strong grounding in probability, statistics, and time-series

• Familiarity with Python (NumPy, Pandas, SciPy, sklearn) for research workflows

• Familiarity with C++ preferred (not mandatory)

• Experience handling large tick-level datasets • Exposure to kdb+/ClickHouse or similar time-series DBs

• Understanding of Indian exchange microstructure

• Strong analytical and problem-solving mindset

Preferred Qualifications -

• Bachelor’s/Master’s in Mathematics / Engineering / Statistics / Computer Science

• Experience in derivatives (Nifty/BankNifty), futures, or options Greeks

• Familiarity with ML techniques for offline research (regression, feature engineering)

Skills Matrix —

Quantitative Researcher (India HFT) Mathematical & Statistical Foundations Probability theory, statistics, time-series modeling, optimization, microstructure modeling Expected Level: L2–L3

Programming & Engineering Python familiarity for research, C++ basics, SQL/kdb+/ClickHouse, Git workflows Expected Level: L2–L3

Market Knowledge (India-Specific) NSE/BSE auctions, freeze states, tick size, L1/L2 interpretation, derivatives understanding Expected Level: L2–L3

Research & Modeling Skills Feature engineering, predictive modeling, multi-factor signals, robust backtesting Expected Level: L2–L3

Machine Learning (Offline) Linear/logistic models, tree models (XGBoost), validation techniques Expected Level: L2

Data Handling Tick data cleaning, normalization, replay workflows, large dataset processing Expected Level: L2–L3

Soft Skills Problem solving, structured analysis, communication, self-driven research Expected Level: L3

Regulatory Awareness (India) SEBI algo rules, auction regimes, OTR impacts Expected Level: L2

Recruitment Notes-

This recruitment pack outlines expectations for a 2–4 year Quantitative Researcher in India’s HFT ecosystem.

The candidate should demonstrate strong analytical depth, research independence, and the ability to translate large-scale high-frequency data into actionable trading insights in a competitive, fast-paced environment.

Job Type: Full-time

Pay: ₹2,000,000.00 - ₹2,966,307.10 per year

Benefits:

• Paid sick time
• Paid time off

Work Location: In person