Quant Researcher - BFS

Key Responsibilities:

- Develop and implement quantitative trading strategies.

- Perform rigorous backtesting of strategies to ensure their robustness and reliability.

- Analyze large datasets to identify patterns and trading opportunities.

- Collaborate with the technology team to implement and deploy strategies.

- Monitor and evaluate the performance of strategies in live trading environments.

- Continuously refine and improve strategies based on market conditions and performance feedback.

- Stay updated with the latest research and trends in quantitative finance and algorithmic trading.

Qualifications:

- Master's or Ph.D. in Quantitative Finance, Mathematics, Statistics, Computer Science, or a related field.

- Proven experience in developing and backtesting quantitative trading strategies.

- Proficiency in programming languages such as Python, R, C++, or MATLAB.

- Strong understanding of financial markets, instruments, and trading mechanisms.

- Experience with data analysis tools and techniques.

- Excellent problem-solving skills and attention to detail.

- Ability to work independently and as part of a team.

- Strong communication skills, both written and verbal.

Preferred Skills:

- Experience with machine learning and AI techniques.

- Knowledge of high-frequency trading (HFT) and market microstructure.

- Familiarity with trading platforms and execution systems.

- Previous experience in a similar role within a financial institution or hedge fund.

Interested candidate may reach directly at +91 99531 38345 for quick call