Reference Data Operations, Analyst

Careers at KKR•San Francisco, CA

About The Position

KKR is looking for an Investment Data Operations Analyst to join its growing data management group within the Global Data Operations vertical. This role sits within the Investment Data Operations (IDO) team and supports the broader enterprise, with primary coverage across Credit and Insurance strategies. This position is based in San Francisco and reports to the VP of Investment Data Operations. The ideal candidate will have foundational experience in security master and daily pricing operations, particularly supporting debt instruments and bank loans. This is a hands-on, execution-oriented role focused first and foremost on accurate asset setup and daily pricing controls, with exposure to broader data initiatives over time. The candidate should have 1–3 years of experience in investment operations, preferably within an alternative investment firm, insurance company, or fund administrator. A strong understanding of middle- and back-office workflows, particularly how security master and pricing data impact accounting, risk, and reporting, is important. This role requires a detail-oriented individual who is comfortable working in a fast-paced environment, willing to grind through operational workflows, and able to independently investigate and resolve data issues. The ideal candidate will also be technically curious, comfortable working directly with data in SQL-based environments and interested in leveraging automation and AI tools to improve operational efficiency. Strong communication skills and a collaborative mindset are essential for working across global teams. We are passionate about operational excellence and providing our investment and business operations colleagues with high-quality, reliable data to support investment execution across the firm. We work in small, collaborative teams within the context of a global investment platform and offer meaningful exposure, learning opportunities, and long-term career growth.

Requirements

Bachelor’s degree required
1–3 years of experience in security master setup, reference data management, or pricing operations
Experience supporting credit instruments, particularly bank loans, asset backed assets.
Experience within an alternative investment firm, insurance firm, or fund administrator preferred
Hands-on experience writing SQL queries; experience working with Redshift and/or Snowflake strongly preferred
Strong comfort working directly with data and performing reconciliations across large datasets
Understanding of how security master and pricing data impact accounting, NAV, and risk reporting
Experience with Sigma or PowerBI preferred
Strong Excel and PowerPoint skills
Strong attention to detail and ability to work accurately under time constraints
Organized with the ability to manage recurring operational processes in a deadline-driven environment
Excellent written, verbal, and interpersonal communication skills
Team-oriented with strong integrity and professionalism
Demonstrated curiosity around automation and AI tools, with a willingness to incorporate technology to improve workflows
Willingness to roll up sleeves, be scrappy, and take ownership of day-to-day operational responsibilities

Nice To Haves

Knowledge of Security Master characteristics of Bank Debt, Bonds, and ABS
Familiarity with pricing vendors and pricing validation workflows
Exposure to trade processing and settlement preferred
Experience working with data platforms such as Snowflake, Redshift, Sigma, Tableau, or PowerBI
Exposure to data governance concepts and operational control frameworks
Experience leveraging automation, scripting, or AI tools to improve operational efficiency

Responsibilities

Create securities in the security master system and maintain updates to the security record throughout the lifecycle of the instrument
Perform accurate asset setup across credit instruments, including bank loans, bonds, and structured products
Manage daily pricing for all securities; perform price validation checks, investigate exceptions, and coordinate with vendors on pricing coverage and challenges
Maintain consistent, accurate, and complete security master data across OMS, accounting, and risk systems by executing routine and targeted data maintenance tasks
Use SQL to query, validate, and reconcile large datasets across systems (including Redshift and/or Snowflake environments)
Support automation and efficiency initiatives, including responsible use of AI tools to streamline operational processes
Resolve data breaks and support downstream teams (Accounting, Risk, Compliance, Client Reporting) with pricing and reference data inquiries
Design, document, and execute data management processes under established governance frameworks
In conjunction with IT, support specifications, testing, and enhancements to tools and applications used to maintain data integrity
Identify areas of operational risk within asset setup and pricing workflows and escalate issues appropriately
Execute assigned data-related initiatives and projects, with primary responsibility focused on operational execution
Support management reporting and analysis using tools such as SQL, Sigma, PowerBI, and PowerPoint