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 analysisOwning 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 dataLeading 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 productsSupporting 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 marketsQualifications
Demonstrable and advanced data science and engineering experience within a financial markets contextAble to design efficient SQL (Redshift) and Python code for complex ETL pipelines and feature engineeringSubstantial experience with joining, analysing, manipulating commercial and regulatory data for visualisation (Tableau) and appsDemonstrable experience in utilising data analytics tools and libraries (Pandas, PySpark, etc)Understanding of financial marketsExperience in applying machine learning techniques to market dataExperienced in developing user-friendly analytical products, e.g self-service tools, or web applicationsAbility to effectively engage with a range of stakeholders
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