MIM – Associate – Data Systems

The Team You Will Join

At MetLife Investment Management (MIM), the Public Fixed Income team blends expertise and reliability to craft strategies across the risk spectrum, from enhanced cash to high yield, and across the term structure, from short-term to long duration. You’ll find true collaboration, bringing together portfolio managers, analysts, and traders to uncover opportunities in evolving markets. Recognized as a 2025 Best Place to Work in Money Management by Pensions & Investments, MIM is where your insights shape decisions and your work drives impact.

The Opportunity

The Data Systems Associate will own workstreams across Public Fixed Income's investment management platform, advancing data integrity, reporting capabilities, and operational efficiency. This individual will partner directly with investment, client, and business teams to transform data into meaningful insights, support strategic initiatives, and leverage advanced technology solutions and automation to improve processes and decision-making across the organization. The ideal candidate is analytical, collaborative, and passionate about using data and technology to drive business outcomes.

Key Responsibilities

• Lead process improvement and automation initiatives to enhance investment operations, reporting, and data accessibility.
• Develop reports, dashboards, and data models that deliver actionable business insights.
• Manage data quality, processing, and issue resolution within portfolio management systems.
• Perform portfolio analysis, cash flow forecasting, peer benchmarking, and financial modeling.
• Provide timely support for internal and external reporting, analytics, and operational requests.
• Collaborate with cross-functional teams and mentor junior analysts on reporting, documentation, and data best practices.

Required Qualifications

• Bachelor’s degree in Computer Science, Business Analytics, or related field; equivalent experience accepted.
• Proven experience leading technology implementations and managing projects from requirements through delivery.
• 3–5 years of experience in finance operations or investment data environments.
• Self-motivated professional with a track record of independently driving projects to successful completion.
• Strong communication, collaboration, and interpersonal skills across all organizational levels.
• Analytical and detail-oriented, with the ability to translate business needs into technical requirements while managing multiple priorities and deadlines.

Preferred Qualifications

• Advanced proficiency in SQL, Python, and Excel; experience with BI and visualization tools such as Power BI or Tableau preferred.
• Experience with AI-enabled tools is also highly preferred.
• The expected salary range for this position is$130,000 - $150,000. This role may also be eligible for annual short-term incentive compensation and stock-based long-term incentives. All incentives and benefits are subject to the applicable plan terms.