Quantitative Researcher / Trader

Role & responsibilities

* Research, develop, and enhance systematic trading models across asset classes

* Analyze large-scale financial datasets to identify actionable trading opportunities

* Collaborate with the technology team to implement and optimize trading strategies

* Build predictive models for market movements using statistical, Al, and ML techniques

* Design and enhance execution systems for low-latency, high-performance trading

* Integrate and work with broker APls for market data and order execution

* Monitor and evaluate live trading strategies, continuously refining them for performance improvement

* Contribute to risk management frameworks and ensure robust trading controls

Preferred candidate profile

* Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, Finance, or a related discipline

* 1-3 years of experience in quantitative research or trading

* Strong analytical and problem-solving skills

* Solid understanding of derivatives, financial markets, and trading concepts (mandatory)

* Proficiency in Python (knowledge of C++ is a plus)

* Hands-on experience with Pandas, NumPy, and statistical modeling

* Expertise in Advanced Excel for data analysis and reporting

* Knowledge of Al/ML algorithms and their application to trading strategies

* Experience developing execution systems and integrating with broker APls