Staff Data Scientist, Algorithm, Financial Markets
About the role
Own and drive the modelling and analysis roadmap for the FX product, identifying high-impact opportunities and prioritising work in collaboration with Product managers.
Develop and maintain models to forecast and monitor FX rate volatility, providing actionable insights to support trading and execution strategy.
Apply statistical and/or machine learning models to optimise FX trade execution - focusing on minimising cost, improving routing efficiency and managing market risk exposure.
Conduct data-driven analyses including but not limited to customer cohort analysis, profitability analysis, and customer segmentation to support commercial decision-making.
Partner with Product Managers, Traders, Risk, Engineering, and other stakeholders to translate analytical findings into trading and product decisions.
Clearly communicate analytical insights and recommendations to cross-functional teams to influence business strategies and decision-making.
Responsibilities
- Own and drive the modelling and analysis roadmap for the FX product, identifying high-impact opportunities and prioritising work in collaboration with Product managers.
- Develop and maintain models to forecast and monitor FX rate volatility, providing actionable insights to support trading and execution strategy.
- Apply statistical and/or machine learning models to optimise FX trade execution - focusing on minimising cost, improving routing efficiency and managing market risk exposure.
- Conduct data-driven analyses including but not limited to customer cohort analysis, profitability analysis, and customer segmentation to support commercial decision-making.
- Partner with Product Managers, Traders, Risk, Engineering, and other stakeholders to translate analytical findings into trading and product decisions.
- Clearly communicate analytical insights and recommendations to cross-functional teams to influence business strategies and decision-making.
Requirements
- 7+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics).
- Strong understanding of financial markets, foreign exchange, and/or dynamic trading systems is a plus.
- Experience with communicating the results of analyses to executives and cross-functional teams to influence the strategy.
- Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R), experience in schema design and dimensional data modeling a plus.
- Ability to perform statistical analysis and develop machine learning models to drive data-informed decisions.
Qualifications
- Minimum Qualifications: 7+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics).
- Preferred Qualifications: Experience in technology, financial services, trading environment and/or a high growth environment is advantageous.
Skills
- Data querying languages (e.g. SQL)
- Scripting languages (e.g. Python)
- Statistical/Mathematical software (e.g. R)
- Schema design and dimensional data modeling
- Statistical analysis
- Machine learning models
Benefits
- Compensation Range: $200K - $250K
Pay
- $200K - $250K
Schedule
- Location of role: San Francisco