Markets Data Scientist

Overview

• 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

• 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