We are looking for a highly analytical Quantitative Researcher to join one of the leading HFT/MFT trading firms. The ideal candidate will be responsible for researching, developing, and validating alpha-generating trading strategies using quantitative methods, statistical modeling, and large-scale market data.

Responsibilities:

- Research and develop profitable quantitative trading strategies across multiple asset classes.
- Generate and validate alpha signals using statistical and machine learning techniques.
- Analyze large-scale historical and tick-by-tick market data.
- Design, backtest, and optimize systematic trading strategies.
- Conduct market microstructure research and execution analysis.
- Build predictive models for price movement, liquidity, volatility, and order flow.
- Work closely with Quant Traders and Quant Developers to deploy production-ready strategies.
- Continuously monitor and improve live strategy performance.

Requirements:

- 4-10 years of experience in HFT, MFT, hedge funds, proprietary trading, or quantitative research.
- Solid knowledge of probability, statistics, linear algebra, stochastic processes, and optimization.




- Excellent programming skills in Python; experience with C , kdb /q, R, Rust, or Julia is a plus.
- Strong understanding of market microstructure and electronic trading.
- Experience working with large financial datasets and backtesting frameworks.
- Ability to independently research, validate, and improve quantitative models.

Experience in one or more of the following:

- Indian, US & European markets, covering Equities, Futures, Options, Commodities, FX, ETFs, Fixed Income and Crypto.

Preferred Qualifications:

- Bachelor's, master's, or PhD in computer science, mathematics, statistics, physics, engineering, economics, or a related quantitative discipline.
- A strong academic record from Tier-1 institutes (IIT, IISc, ISI, IIIT, BITS, CMI, etc. ) is preferred.
- Experience with machine learning, time-series forecasting, optimization techniques, and quantitative finance is highly desirable.

Locations: Mumbai, Gurgaon, Bangalore, Remote ( Opportunistically ) & Global

📌 Quant Researcher (Mumbai)
🏢 AAA Global Tech
📍 Mumbai