Investment Analytics Data Specialist

Investment Analytics Data Specialist - (12-14-Month FTC) - London - Wealth Management Our client are looking for an Investment Analytics Data Specialist to join the UK Wealth Management business on a 12-14-month contract. This role sits within the Investment Analytics function, which plays a vital role in monitoring investment risk, maintaining performance records, and delivering quantitative insights that directly inform investment decisions. This is a great opportunity for someone who enjoys working with complex financial data, is highly numerate, and wants to apply modern analytical tools and techniques to real-world investment challenges. What you’ll do • Produce regular portfolio analytics, from official performance records to forward-looking risk estimates. • Deliver monthly reporting to the Investment Oversight Committee, covering risk budgeting, stress testing, factor exposures, and performance. • Analyse large and complex financial datasets to identify patterns and insights. • Work with Bloomberg PORT Enterprise to generate and batch portfolio analytics reports. • Help automate data collection and reporting processes using Python or R. • Communicate risk and performance insights clearly to senior management, client advisers, and portfolio managers. • Ensure reporting and analytics are aligned with industry best practices. • Support ad hoc requests for data and analysis, including RFPs and client materials. What they're looking for • Strong analytical skills and the ability to work with complex data. • Previous experience in investment performance or risk (preferred). • Strong interest in financial markets, investing, and data science. • A degree in mathematics, finance, economics, or data science. • Proficiency in Excel and PowerPoint (essential). • Programming skills in Python or R (preferred). Why apply? This role offers exposure to risk management, performance analytics, and investment oversight at a leading wealth management business. You’ll work at the intersection of data science and investing, gaining valuable experience in a team that is modernising its analytical toolkit while supporting critical decision-making across the firm. Please apply below if interested.