Job Description

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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 o 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