Performance Analytics Engineer (Python & SQL)

Russell Investments; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Russell Investments is seeking a Quantitative Performance Analyst to help modernise investment analytics and reporting within the Global Performance & Reporting team. You will work across Investment Data, Risk, Technology, Product, Client Service, and external partners to deliver accurate performance insights and scalable automation.

The role emphasizes Python, SQL, API integration, and data-driven decision making in a global context, contributing to improved client outcomes and governance.

Qualifications

• Bachelor's degree or equivalent in Finance, Mathematics, Statistics, CS, Engineering, Data Science, or related quantitative discipline.
• Foundational experience with Python and interest in automation solutions.
• Working knowledge of SQL, including joins and data manipulation; exposure to CTEs/window functions helpful.
• Exposure to APIs, JSON/XML, version control, or modern software practices.
• Experience in investment performance, reporting, analytics, or related field preferred.
• Strong analytical, written, and verbal communication skills.

Responsibilities

• Build knowledge of investment performance measurement, attribution, and reporting methodologies.
• Prepare accurate performance analytics and reporting for clients, funds, regulators, and internal stakeholders.
• Develop and improve analytics and reporting quality through automation initiatives.
• Investigate performance questions, identify discrepancies, and propose practical solutions.
• Collaborate with multiple teams to support reporting platforms and onboarding of new clients.

Skills

Python

SQL

APIs

Data analysis

Communication

Collaboration

Problem solving

Education

Bachelor's degree in Finance/Math/CS

Tools

Vermilion

Morningstar

SS&C

Job description

Russell Investments is seeking a Quantitative Performance Analyst to help modernise investment analytics and reporting within the Global Performance & Reporting team. You will work across Investment Data, Risk, Technology, Product, Client Service, and external partners to deliver accurate performance insights and scalable automation.

The role emphasizes Python, SQL, API integration, and data-driven decision making in a global context, contributing to improved client outcomes and governance.