Responsibilities
- Develop, implement, and maintain quantitative models and algorithms for trading strategies.
- Collaborate with quantitative researchers to translate mathematical models into code.
- Optimize and enhance existing trading systems to improve performance and reliability.
- Conduct rigorous back-testing and simulation of trading strategies to validate effectiveness.
- Integrate and manage large data sets from diverse sources to support quantitative analysis.
- Work closely with traders to understand requirements and provide technical solutions.
- Ensure code quality and maintainability through best practices in software development.
- Stay up-to-date with the latest advancements in quantitative finance and technology.
Qualifications :
- Bachelor's, Master's, or PhD inputer Science, Engineering, Mathematics, Physics, or a related field.
- Strong programming skills in languages such as Python, C++, Java, or similar.
- Solid understanding of algorithms, data structures, and object-oriented programming.
- Experience with quantitative modeling, statistical analysis, and machine learning techniques.
- Proficiency in working with large data sets and databases (SQL, NoSQL).
- Knowledge of financial markets, trading systems, and electronic trading.
- Excellent problem-solving skills and the ability to work under pressure.
- Strongmunication skills and the ability to work effectively in a team-oriented environment.
Preferred Qualifications :
- Experience in a similar role within a hedge fund, investment bank, or financial services firm.
- Familiarity with high-frequency trading (HFT) and low-latency systems.
- Knowledge of risk management and portfolio optimization techniques.
- Experience with cloudputing platforms (AWS, GCP, Azure).
- Contributions to open-source projects or publications in relevant fields.
Job ID PR / 499185
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