Reporting To:
Data Science and Engineering Manager

Shift:
EMEA (1:30 pm - 10:30 pm IST) (India)

About Russell Investments, Mumbai:

Russell Investments is a leading outsourced financial partner and global investment solutions firm providing a wide range of investment capabilities to institutional investors, financial intermediaries, and individual investors around the world. Building on an 90-year legacy of continuous innovation to deliver exceptional value to clients, Russell Investments works every day to improve the financial security of its clients. The firm is "Top 12 Ranked Consultant (2009-2024)" in P&I survey 2024 with $962 billion in assets under advisement (as of December 31, 2025) and $376.9 billion in assets under management (as of December 31, 2025) for clients in 30 countries. Headquartered in Seattle, Washington in the United States, Russell Investments has offices around the world, including London, New York, Toronto, Sydney, Tokyo, Shanghai - and has opened a new office in Mumbai, India in June 2023.

Joining the Mumbai office is an incredible opportunity to work closely with global stakeholders to support the technology and infrastructure that drives the investment and trading processes of a globally recognized asset management firm. Be part of the team based out of Goregaon (East) and contribute to the foundation and culture of the firm's growing operations in India. The Mumbai office operates with varying shifts to accommodate time zones around the world.

For more information, please visit https://www.russellinvestments.com.

Job Description:

Required Qualifications

• Bachelor's degree in Analytics, Statistics, Economics, Mathematics, Computer Science, Engineering, or related quantitative field.
• 5-8+ years of experience in Business Intelligence, Data Analytics, or related roles.
• Advanced SQL proficiency, including complex query development, data validation, and performance optimization.
• Proficiency in Python or an equivalent analytics/programming language (e.g., R) for data analysis, automation, and reporting.
• Experience with data warehousing concepts, dimensional modeling, and ETL/ELT processes.
• Experience translating business questions into measurable metrics and analytical frameworks.
• Proven ability to communicate insights and recommendations to technical and non-technical stakeholders.

Preferred Qualifications

• Experience in asset management or financial services.
• Experience with Snowflake and modern cloud-based analytics platforms.
• Experience supporting product analytics, operational analytics, growth analytics, or strategic business initiatives.
• Experience with BI and data visualization tools such as Power BI or equivalent.
• Experience building self-service analytics solutions and executive reporting.