Quantitative Researcher

Our Client is a fast-growing algorithmic trading firm seeking a highly analytical and driven Quantitative Researcher to join our team. The role involves researching, developing, and improving systematic trading strategies across diverse market conditions. You will work closely with trading and technology teams to deploy strategies in live markets and continuously enhance performance.

Key Responsibilities:

- Research and develop quantitative trading strategies using statistical and mathematical techniques.

- Conduct backtesting and simulation using historical market data.

- Analyze market microstructure, price action, and order flow to identify alpha opportunities.

- Optimize models to improve profitability, execution efficiency, and risk-adjusted returns.

- Monitor live strategies and perform performance attribution and analysis.

Requirements:

- Bachelor's degree in Mathematics, Statistics, Computer Science, Financial Engineering, or a related quantitative field from a leading institution.

- 0-2 years of relevant experience in algo trading.

- Proficiency in Python (NumPy, Pandas, SciPy).

- Solid understanding of probability, statistics, linear algebra, optimization, and time-series analysis.

- Strong analytical, problem-solving, and communication skills.

Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 5 business days, we regret to inform you that your application for this position was unsuccessful.