Risk Data Analyst

Hybrid

London, United kingdom

£ 75,000 /year

Full Time

17-04-2025

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Job Specifications

A leading alternative asset manager is looking for a Risk Data Analyst to join its Risk Management team in London. This is an exciting opportunity for an experienced data specialist to bring their technical and analytical skills to a cross-asset class investment environment. The role combines strategic data projects with hands-on analysis and a strong focus on ESG data integration.

As a Risk Data Analyst, you will help drive the firm's evolving data strategy within the Risk function. You'll support decision-making with timely and impactful data analysis, collaborating with investment and tech teams to prototype and automate data processes.

Key Responsibilities:
Lead long-term projects that enhance how data is captured, analysed, and used across risk and investment teams.
Conduct ad hoc analysis on portfolios and financial markets to support portfolio management.
Build out ESG data capabilities across the firm, ensuring regulatory compliance and adding value to investment processes.
Collaborate with IT to develop and prototype tools for data capture and automation.
Support the enhancement of risk modelling capabilities across various asset classes.

To be considered for the role applicants must have a strong background in data science or analytics, ideally within a financial institution. Candidates must have experience within a Risk function or a strong understanding passion when it comes to Investment Risk. Proficiency in Python and SQL is a must.

About the Company

Attribution Search adopts a comprehensive and thorough approach to sourcing and placing High Performing Talent into Asset Managers and Hedge Funds. We work Permanent, Fixed Term Contract and Interim positions on both a contingent and retained basis and offer sincere advice on the most efficient way of hiring. We cover a diverse range of: investment strategies and asset classes giving each of our clients tailored talent solutions to take ambiguity and uncertainty out of the selection process. One common theme shines through a... Know more