Risk Data Analyst

JR United Kingdom; London; On-site; GBP 45,000 - 75,000; Full time

Job summary

An established industry player is on the lookout for a Risk Data Analyst to join its dynamic Risk Management team in London. This role presents a thrilling opportunity for data specialists to leverage their technical prowess in a cross-asset investment environment. You will lead strategic data projects, enhance risk modeling capabilities, and focus on ESG data integration, contributing significantly to investment processes. If you have a strong background in data science and a passion for risk management, this position could be your next big career move.

Qualifications

• Strong background in data science or analytics, preferably within a financial institution.
• Experience within a Risk function or a strong understanding of Investment Risk.

Responsibilities

• Lead long-term projects to improve data capture, analysis, and usage across risk and investment teams.
• Develop ESG data capabilities, ensuring regulatory compliance and adding value to investment processes.

Skills

Data Science

Data Analysis

Python

SQL

ESG Data Integration

Risk Management

Education

Degree in Data Science or Analytics

Experience in Financial Institutions

Job description

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Risk Data Analyst at a Leading Asset Manager

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

Responsibilities:

1. Lead long-term projects to improve data capture, analysis, and usage across risk and investment teams.
2. Perform ad hoc portfolio and market analysis to support portfolio management decisions.
3. Develop ESG data capabilities, ensuring regulatory compliance and adding value to investment processes.
4. Work with IT to develop and prototype tools for data automation and capture.
5. Enhance risk modelling capabilities across various asset classes.

Qualifications:

• Strong background in data science or analytics, preferably within a financial institution.
• Experience within a Risk function or a strong understanding of Investment Risk.
• Proficiency in Python and SQL is required.