Description

Thornburg is a global investment firm delivering on strategy for institutions, financial professionals and investors worldwide. The privately held firm, founded in 1982, is an active, high-conviction manager of fixed income, equities, and multi-asset solutions.

As an independent firm, Thornburg can take on a wide range of opportunities, explore ideas thoroughly and work across strategies to deliver consistent risk-adjusted outperformance over the long term. The firm attracts free-thinking professionals who are eager to pursue investment outcomes beyond the confines of popular wisdom. From nimble operational capabilities to principles and actions fitting of a global citizen, Thornburg’s world-class investment platform and team are aligned on strategy to serve investors.

Job Summary

The Senior Analyst, Enterprise Data & Analytics is a key contributor to the Enterprise Data & Analytics team, responsible for ensuring the accuracy, integrity, and usability of investment and performance data across all asset classes. This role combines strong analytical expertise with deep knowledge of investment data systems to support data governance, analytics validation, and regulatory reporting, including GIPS compliance.

Duties and Responsibilities

• Define, maintain, and monitor business data quality rules and acceptance criteria for assigned data domains.
• Perform daily, monthly, and quarterly validation of security-level analytics, pricing, classifications, performance, and attribution results.
• Document data lineage, business definitions, and data ownership to support enterprise data governance standards.
• Investigate data quality issues, perform root-cause analysis, and partner with IT and Operations on remediation efforts.
• Support GIPS compliance activities, including composite maintenance, return calculations, and methodology documentation.
• Serve as a subject matter expert for enterprise analytics platforms (including FactSet) and ensure accurate data delivery to downstream consumers.
• Partner with Data Operations to support month-end and quarter-end reporting processes.
• Contribute to vendor evaluations by testing data quality, assessing business fit, and documenting findings.
• Develop and maintain process documentation and standard operating procedures to improve data integrity and governance maturity.

Requirements

• 5+ years of experience in investment data, performance measurement, analytics, and data quality within asset management.
• Strong knowledge of multi-asset class investments (equities, fixed income, multi-asset portfolios).
• Proficiency with FactSet PA and SPAR.
• Working knowledge of GIPS standards and performance methodology.
• Bachelor’s degree in Finance, Economics, Mathematics, or a related field.
• Excellent analytical, documentation, and communication skills.
• CFA or CIPM designation.
• Experience with official performance systems (e.g., Confluence, Investortools Perform)
• Familiarity with fixed income analytics and cashflow modeling tools (e.g., Intex)
• Experience with Bloomberg AIM or similar OMS platforms
• SQL or data query experience
• Exposure to vendor management or data licensing evaluations.

Job Benefits 

• Medical, dental, and vision coverage.
• Employer 401(k) safe harbor and profit-sharing contributions.
• Work/life programs such as flexible work arrangements, flexible paid time off, paid parental leave, employee assistance plan, commuter benefits, student loan repayment program, & education reimbursement program.
• Community involvement opportunities.
• Onsite cafeteria.
• Onsite fitness center.
• Referral program. 

Santa Fe is the capital of New Mexico. Founded in 1610 and nicknamed "The City Different," Santa Fe captures hearts and minds with its museums, restaurants, theater, opera, and adobe-style architecture. With an average of over 300 sunny days per year and picturesque landscape, it's no wonder that outdoor activities such as skiing and hiking in "The Land of Enchantment" attract visitors from around the world.

All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, national origin, disability, gender, gender identity or protected veteran status.