Senior Data Scientist (Markets)

Responsibilities

• We regulate financial services firms in the UK, to keep financial markets fair, thriving and effective. By joining us, you’ll play a key part in protecting consumers, driving economic growth, and shaping the future of UK finance services
• SPC oversees firms and individuals (supervision), creates and reviews the rules by which they operate (policy) and identifies and remedies ineffective competition in markets (competition)
• The Markets Directorates oversee wholesale banks, intermediaries, asset managers, market infrastructure and exchanges, amongst others, ensuring fair, transparent and resilient wholesale markets that support the effective functioning of the UK’s financial system
• Design and build high performance pipelines of trading data, transforming millions of daily records into model-ready datasets for risk and market analysis
• Own and evolve interactive web apps and dashboards, turning unique regulatory markets data into insights across equities, fixed income, commodities, and FX, helping supervisors build a detailed understanding of firms’ and exposures
• Conduct analyses on diverse and stimulating issues, empowering policy and supervisory teams to make informed, timely decisions whilst gaining exposure to a broad range of markets and financial products
• Apply your technical skills to impactful challenges and play a key role in shaping how data are harnessed to supervise firms and markets

Benefits

• 25 days holiday per year plus bank holidays
• Hybrid working (work from home up to 60% of your time)
• Private healthcare with Bupa
• A non-contributory Pension of at least 8%
• Life assurance
• Income protection

Qualifications

• Demonstrable proficiency with tools and libraries for data analysis, including relevant Python libraries
• Demonstrable data engineering experience within a financial markets context, able to design efficient SQL (Redshift) and Python code for complex ETL pipelines and feature engineering
• Experience in developing user-friendly analytical products, e.g. dashboards, self-service tools, or streamlit apps
• Deep understanding of financial markets
• Prior experience in building and deploying scalable cloud-based solutions
• Experience applying machine learning techniques to market data
• Demonstrated capacity to work well with a wide range of stakeholders

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