Markets Data Scientist

Financial Conduct Authority

Markets Data Scientist optimizing high-performance trading data pipelines and support regulatory oversight at the FCA. Utilizing data analysis to empower teams in firm and sector risk understanding.

Posted 6/17/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSenior💰 £60,700 - £86,000 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftETLPandasPySparkPythonSQLTableau

About the role

Key responsibilities & impact

Leading the optimisation of high-performance pipelines of trading and position data, transforming millions of daily records into model‑ready datasets for risk and market analysis
Owning the design and insights from interactive dashboards and web apps, turning unique regulatory markets data into system-wide views across fixed income, commodities, FX and equities helping stakeholders build a detailed understanding firm and sector risks through flow and exposure data
Leading analysis on diverse and stimulating issues, empowering market abuse, policy and supervisory teams to make informed, timely decisions whilst gaining exposure to a broad range of markets and financial products
Supporting colleagues and growing your technical skills to impactful challenges and play a key role in shaping how data are harnessed to monitor and supervise firms and markets

Requirements

What you’ll need

Demonstrable and advanced data science and engineering experience within a financial markets context
Able to design efficient SQL (Redshift) and Python code for complex ETL pipelines and feature engineering
Substantial experience with joining, analysing, manipulating commercial and regulatory data for visualisation (Tableau) and apps
Demonstrable experience in utilising data analytics tools and libraries (Pandas, PySpark, etc)
Understanding of financial markets
Experience in applying machine learning techniques to market data
Experienced in developing user-friendly analytical products, e.g self-service tools, or web applications
Ability to effectively engage with a range of stakeholders

Benefits

Comp & perks

25 days annual leave plus bank holidays
Non-contributory pension (8–12% depending on age) and life assurance at eight times your salary
Private healthcare with Bupa
Income protection and 24/7 Employee Assistance
35 hours of paid volunteering annually
Hybrid model where employees work a minimum of 40% in the office each month
A flexible benefits scheme designed around your lifestyle

ATS Keywords

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Hard Skills & Tools

data sciencedata engineeringSQLPythonETL pipelinesfeature engineeringdata manipulationdata visualizationmachine learninganalytical product development

Soft Skills

stakeholder engagementteam collaborationproblem-solvingdecision-makingcommunication