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Staff Data Scientist, Algorithm, Financial Markets

US - San Francisco💼 Full-time🗓 2026-06-02 → 2026-09-26

Core

Own and drive the modelling and analysis roadmap for the FX product, developing models to forecast FX rate volatility and optimize trade execution.

Role type

Staff Data Scientist, Algorithm, Financial Markets

Builds

FX trading models, volatility forecasting systems, and trade execution optimization tools

Domain

Fintech, Foreign Exchange, Financial Markets

Deliverable

production ML models

Required skills

Statistical analysis, Machine learning model development, Financial market understanding, FX trading systems knowledge, Data querying (SQL), Scripting (Python), Statistical/mathematical software (R), Schema design, Dimensional data modeling

Preferred skills

Experience in technology, financial services, trading environment, high growth environment

Technologies

SQL, Python, R

Responsibilities

Develop and maintain models to forecast and monitor FX rate volatility, Apply statistical and/or machine learning models to optimize FX trade execution, Conduct data-driven analyses including customer cohort and profitability analysis, Partner with Product Managers, Traders, Risk, and Engineering to translate findings into decisions, Clearly communicate analytical insights to cross-functional teams

Seniority

Staff, hands-on IC with strategic ownership

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