Responsibilities:
- Design and implement statistical models for prediction, optimization, and risk management.
- Develop quantitative strategies that maximize returns and control risk, using advanced analytics and backtesting techniques.
- Analyze large datasets to identify trends, anomalies, and opportunities for algorithmic trading.
- Develop and refine trading algorithms based on the models and strategies created.
- Stay abreast of the latest developments in quantitative finance, including new modeling techniques, technologies, and financial instruments.
- Work closely with software developers and traders to implement models and strategies effectively in the trading environment.
- Evaluate and mitigate risks associated with strategies, models, and trades.
- Generate regular and ad hoc reports on strategy performance, risks, and market conditions.
Requirements:
- Master’s degree or PhD in a quantitative field such as Mathematics, Statistics, Financial Engineering, Physics, or Computer Science.
- Proven experience in quantitative finance, ideally in a trading environment, with a strong track record of developing profitable strategies.
- High proficiency in programming languages such as Python, R, C++, or MATLAB. Experience with database management and using big data technologies.
- Strong analytical and problem-solving skills with the ability to work with complex data.
- Deep understanding of financial markets, instruments, and derivatives trading.
- Excellent verbal and written communication skills, with the ability to explain complex quantitative concepts to non-specialists.
- High level of accuracy and attention to detail.
- Ability to collaborate effectively with cross-functional teams.
