Markets Data Scientist
Summary
Builds and optimizes data pipelines to turn raw trading and position data into insights for risk and market analysis, using Python, SQL, and Tableau.
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
Qualifications
- 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