KKR→
Reference Data Operations, Analyst at KKR in San Francisco, CA
Entry LevelOn-siteFull-timeSan Francisco, CA$80k–$105k/yr
Skills
security master setupreference data managementpricing operationscredit instrumentsbank loansasset backed assetssqlredshiftsnowflakedata reconciliationsigmapowerbiexcelpowerpointdata governanceoperational control frameworksautomation toolsai toolscuriosity
Job Description
Summary: KKR is a leading global investment firm that offers alternative asset management and capital markets solutions. They are seeking an Investment Data Operations Analyst to support the Investment Data Operations team, focusing on accurate asset setup and daily pricing controls for credit and insurance strategies.
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
Required Qualifications:
- 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
- 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
- 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
Preferred Qualifications:
- Experience within an alternative investment firm, insurance firm, or fund administrator preferred
- Experience with Sigma or PowerBI preferred
- 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
Required Skills: Security master setup, Reference data management, Pricing operations, Credit instruments, Bank loans, Asset backed assets, SQL, Redshift, Snowflake, Data reconciliation, Sigma, PowerBI, Excel, PowerPoint, Data governance, Operational control frameworks, Automation tools, AI tools, Curiosity
Benefits: Discretionary bonus
Benefits
Discretionary bonus