Investment Performance Analytics & Automation

Russell Investments; Seattle (WA); On-site; USD 85,000 - 95,000; Full time

Job summary

Russell Investments seeks a Performance Analyst to advance investment analytics and reporting across global products. You will partner with Data, Risk, Technology, Product, Client Service, and Portfolio Management to deliver accurate performance insights and scalable workflows.

Core duties include developing Python-based automation, SQL querying, and API integrations while contributing to data quality and reporting modernization in a fast-paced environment.

Qualifications

• Bachelor's degree or equivalent in a quantitative field.
• Experience in investment performance, reporting, or analytics preferred.
• Foundational Python and automation interest.
• Working SQL knowledge; exposure to advanced SQL helpful.
• Familiarity with APIs, JSON/XML, and modern dev practices.
• Strong analytical, written and verbal communication skills.

Responsibilities

• Build and communicate investment performance analytics and reporting.
• Support research into performance methodologies and improve quality.
• Investigate discrepancies and propose practical solutions.
• Design, develop, test, and maintain Python automation solutions.
• Write SQL queries and support data validation and automation.
• Integrate enterprise data sources via APIs and data exchange tech.
• Collaborate with cross-functional teams to support reporting needs.
• Contribute to standardized reporting processes and governance.
• Support client launches, portfolio onboarding, and readiness activities.
• Participate in reporting modernization and AI-assisted tooling.

Skills

Analytical thinking

Strong communication

Python basics

SQL skills

APIs familiarity

Attention to detail

Education

Bachelor's degree in Finance/Math/CS/Engineering/Data Science

Tools

Vermilion

Morningstar Direct

SS&C

Bloomberg

Power BI

Git/GitHub

Job description

Russell Investments seeks a Performance Analyst to advance investment analytics and reporting across global products. You will partner with Data, Risk, Technology, Product, Client Service, and Portfolio Management to deliver accurate performance insights and scalable workflows.

Core duties include developing Python-based automation, SQL querying, and API integrations while contributing to data quality and reporting modernization in a fast-paced environment.