Strategist - Security Reference Data

Artisan Partners•Milwaukee, WI

56d•Hybrid

About The Position

Artisan Partners Limited Partnership is seeking an experienced strategist to join our Trade Operations Group to support the evolution of our security reference data framework that underpins our investment, risk, regulatory, and reporting processes. The ideal candidate will bring deep subject matter expertise, ability to execute and get things done, strong strategic views, and a focus on operational excellence, automation, and process improvement.

Requirements

Bachelor's degree in Finance, Economics, Data Management, or related field
8-12 years of experience in financial data operations, security master management, or market data management, with at least 3-5 years in a strategic role
Strong knowledge of security reference data, corporate actions, and market data processes
Strong understanding of security reference data across equities, fixed income, and derivatives
Familiarity with investment management systems (e.g., Aladdin, Bloomberg, Refinitiv, Markit, ICE)
Experience with data quality tools, automation, APIs, and cloud-based data infrastructure
Proven ability to work across functions and manage vendor relationships
Excellent problem-solving, analytical, and communication skills
Demonstrated ability to translate operational needs into investment data requirements and influence data strategy at the firmwide level

Nice To Haves

Experience with Snowflake or other enterprise data platforms a plus

Responsibilities

Engage in the setup, validation, and ongoing maintenance of security master and reference data records to ensure accuracy of key fields such as coupon, maturity, identifiers, and classifications
Engage in the accurate capture and processing of corporate actions and events, including dividends, splits, mergers, rights issues, restructurings, and related payment structures
Act as primary liaison with data vendors and market dealers to resolve discrepancies, source new datasets, and ensure service-level expectations are met
Identify and resolve data exceptions, discrepancies, and failures, escalating issues where appropriate to maintain straight-through processing and operational continuity
Maintain and enhance process documentation, policies, and governance standards while driving process improvements and ensuring consistency across teams
Implement quality control and validation frameworks, including audits, cross-checks, exception monitoring, and integrity surveillance
Oversee the onboarding, mapping, and integration of new data sources and vendor feeds into internal platforms
Partner with technology to advance automation, build rule engines, enhance pipelines and APIs, and support scalable, cloud-based operations
Monitor and report on performance metrics such as error rates, latency, completeness, coverage, and SLA adherence to embed accountability and transparency
Ensure interoperability of security reference data across core OMS platforms, while aligning with downstream domains including positions, pricing, and performance analytics
Influence investment data strategy by recommending enhancements to the Snowflake data model and evolving rules, hierarchies, and data quality standards