Overview
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