Markets Data Scientist - Financial Conduct Authority

Key Responsibilities

• Design, develop, and deploy predictive models and analytical frameworks to detect market abuse and assess systemic risk.
• Extract, clean, and transform large financial datasets using SQL and Python, ensuring data integrity and compliance with regulatory standards.
• Collaborate with cross‑functional teams to translate complex data findings into actionable insights for enforcement actions.
• Visualise trends and anomalies with tools such as Tableau or Power BI, presenting results to senior stakeholders.
• Maintain and enhance data pipelines, documentation, and reproducible research workflows.

Requirements

• Strong programming skills in Python and proficiency with libraries such as pandas, scikit‑learn, and statsmodels.
• Experience with relational databases and advanced SQL queries.
• Solid foundation in statistical modelling, hypothesis testing, and machine learning techniques.
• Excellent communication skills, able to explain technical concepts to non‑technical audiences.
• Prior exposure to financial market data or regulatory analytics is highly desirable.