Quantitative Performance Analyst

Salary Range: $85,000 USD - $95,000 USD

Specific compensation will be based on candidate’s experience, skills, qualifications, commercial considerations, and other job-related factors permitted by law. At Russell Investments, salary is just one part of our compensation package. Our total rewards approach includes an annual performance bonus (subject to eligibility criteria) in addition to participation in our competitive benefits programs including healthcare, retirement, vacation, and wellbeing programs.

Every day, Russell Investments seeks to improve financial security for people. We put clients at the center of everything we do, combining deep investment expertise with innovative technology and data-driven insights to help them achieve better outcomes. Joining the Global Performance & Reporting team within Global Risk, you'll help modernize the investment analytics platform that supports Russell Investments' global products, clients, and investment professionals.

We're transforming how investment performance is measured, analyzed, and delivered through scalable technology, automation, and AI-enabled workflows. The Performance Analyst supports the calculation, analysis, and communication of investment performance across a range of products while working with Investment Data, Risk, Technology, Product, Client Service, Portfolio Management, and Engineering to deliver accurate analytics and reporting. This role provides an opportunity to develop strong investment performance and technical skills while contributing to process improvements, automation, data quality, and the modernization of Russell Investments' global performance and reporting capabilities.

• Build knowledge of investment performance measurement, attribution methodologies, benchmark construction, GIPS standards, and regulatory reporting requirements.
• Prepare accurate and timely performance analytics and reporting for clients, funds, regulators, GIPS composites, and internal stakeholders, with guidance as needed.
• Support research into performance methodologies and contribute to improvements in analytics and reporting quality.
• Investigate performance questions, identify discrepancies, and elevate complex issues while supporting the development of practical solutions.

• Support the design, development, testing, and maintenance of Python-based applications and automation solutions that simplify business processes and reduce manual work.
• Contribute to automated reporting pipelines, reconciliation tools, monitoring solutions, reusable Python libraries, and internal applications that improve operational efficiency.
• Write and maintain SQL queries that support investment analytics, reporting, data validation, and automation initiatives.
• Assist with integrating enterprise data sources and external platforms through APIs and data exchange technologies including REST, JSON, and XML.
• Use approved AI-assisted development tools and modern engineering practices to support solution delivery and team productivity.

• Support performance and reporting readiness activities for new client launches and portfolio onboarding.
• Collaborate with Investment Data, Risk, Technology, Product, Client Service, Marketing, Operations, Compliance, and external vendors to support reporting and analytical solutions.
• Support enhancements to reporting platforms including Vermilion, Morningstar, SS&C, and related reporting ecosystems.
• Contribute to the standardization of reporting processes and deliverables to improve consistency and reduce operational risk.
• Document business processes, methodologies, technical designs, and operational procedures to support knowledge sharing and governance.

• Identify and communicate opportunities to simplify, standardize, and improve performance measurement and reporting processes.
• Develop knowledge of investment performance, attribution, financial markets, data management, software engineering, and AI technologies.
• Support team initiatives related to reporting modernization, return analytics, automation, and internal application development.
• Participate in continuous improvement efforts and suggest practical ways to improve team processes and outcomes.

• Bachelor's degree or equivalent coursework in Finance, Mathematics, Statistics, Computer Science, Engineering, Data Science, or a…