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ASSOCIATE DIRECTOR-eTrading Quantitative Research & Analytics FX/Rates eRisk - HSBC
Software Engineer
Lead quantitative research and analytics for FX and rates eRisk, driving data‑driven insights and risk models across the eTrading platform using Python, R, SQL and advanced machine learning techniques.
About the role
Key Responsibilities
- Design, develop and maintain quantitative risk models for FX and rates products on the eTrading platform.
- Collaborate with traders, risk managers and technology teams to translate business requirements into robust statistical and machine learning solutions.
- Analyze large datasets, perform back‑testing, and validate model performance against market data.
- Document model logic, assumptions and performance metrics for regulatory and audit purposes.
- Provide actionable insights and recommendations to senior stakeholders to support trading strategies and risk mitigation.
Requirements
- Advanced degree in Quantitative Finance, Statistics, Computer Science or related field.
- 5+ years of experience in quantitative research, risk analytics or algorithmic trading.
- Proficiency in Python, R and SQL for data manipulation, modeling and automation.
- Strong knowledge of statistical modeling, machine learning, and financial risk concepts.
- Excellent communication skills and ability to work cross‑functionally in a fast‑paced environment.
Skills
pythonsqlmachine learning