Senior Analyst, Security Referential Data
Atlanta, GA On-site
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About the role
Voya Investment Management is seeking a highly motivated, analytical, and leadership-minded professional to join our Investment Data & Analytics Team as an Investment Security Referential Senior Analyst, with responsibility for both private and public security masters and an emphasis on private credit, senior loans, bank loans, and other complex fixed income instruments. In this senior role, you will own key components of our security master and referential data program, with particular focus on accurately capturing private credit deal structures, funded and unfunded commitments, delayed draw and multi-part funding arrangements, amendments, lifecycle events, and downstream impacts across investment, accounting, risk, compliance, and portfolio management workflows. You will partner closely with investment analysts, portfolio managers, Risk, Compliance, Operations, Technology, and external data providers to resolve complex issues, define standards, and influence outcomes.
What you'll bring
- Bachelor's degree in finance, economics, business administration, data management, or a related field required
- 10+ years of experience in investment management, financial services, or capital markets data required, with demonstrated progression into senior ownership, advisory, or leadership responsibilities.
- 7+ years of hands-on security master, referential data, or investment data operations experience required, including ownership of both private and public security master data, complex instrument setup, exception management, data quality controls, and cross-functional issue resolution
- Advanced working knowledge of investment platforms and market data tools such as BlackRock Aladdin and Bloomberg required
- Ability to interpret private credit and loan deal documentation, credit agreements, term sheets, notices, and funding instructions to determine accurate security master setup, identifier relationships, coupon conventions, commitment treatment, and downstream data impacts.
- Proven ability to operate with senior-level judgment in a fast-paced environment, balancing daily production priorities, escalations, control requirements, and strategic improvement initiatives.
- Demonstrated leadership capabilities, whether formal or informal, including mentoring team members, guiding priorities, influencing stakeholders, driving decisions, and leading workstreams, projects, or process improvements
- Excellent communication and stakeholder management skills, with the ability to translate complex data topics into clear business impacts and drive alignment across Investment, Risk, Compliance, Technology, Operations, and vendor partners.
- Strong ownership mindset with a track record of identifying root causes, resolving recurring issues, strengthening controls, and implementing sustainable process improvements.
- Strategic and analytical thinker with strong organizational, project management, and problem-solving skills
- able to connect detailed data issues to broader operating model, governance, and risk management objectives.
- Advanced Excel and intermediate SQL skills required, including the ability to analyze large datasets, validate exceptions, support reconciliations, and communicate findings clearly