Investment Data Analyst Job Springfield area,Massachusetts USA,IT/Tech

Own day-to-day investment data operations, including monitoring, triaging, and resolving data quality issues across security reference, pricing, corporate actions, and fundamentals
Investigate and process corporate actions (e.g., mergers, spinoffs, splits, reclassifications), applying judgment to assess impact on holdings and analytics
Monitor data alerts across cross-reference, market data, and characteristics pipelines, distinguishing true issues from benign anomalies
Build and maintain investment-ready data interfaces for key metrics such as liquidity, issuer-level market cap, sector classifications, and fundamental ratios
Work across major vendor data sources (Bloomberg, Capital IQ, Worldscope, Fact Set, MSCI, CRSP, ICE, IBES, Russell), understanding their strengths, limitations, and quirks
Validate and reconcile data across security master and identifier systems (SEDOL, CUSIP, ISIN, AcadianID), ensuring accurate linkage across securities, issuers, and time
Partner with data engineers to define expected data behavior, contributing to data quality checks, transformation logic, and monitoring thresholds
Collaborate with researchers and portfolio managers to align data definitions with real investment use cases
Develop and refine data quality and reconciliation frameworks focused on investment impact, not just technical completeness
Contribute to the evolution of the data platform (e.g., Phoenix, Dagster, Rift), including dataset definitions, metadata, and modeling approaches
Identify recurring data issues and partner with engineering and vendors to address root causes

Qualifications

Bachelor's degree in Finance, Economics, Mathematics, Computer Science, or a related field (or equivalent experience)
Significant experience working with investment data in an institutional asset management or quantitative environment
Deep familiarity with major financial data vendors and how their datasets are used in practice
Strong understanding of security reference data and identifier systems (SEDOL, CUSIP, ISIN, FIGI), including corporate action impacts
Hands-on experience with corporate actions and their downstream implications
Proficiency in Python and SQL for data analysis and validation (experience with Pandas, Polars, Dagster, or similar tools preferred)
Ability to reason about data at both the record and portfolio level, with a clear understanding of investment implications
Experience building or contributing to data quality, monitoring, or reconciliation frameworks
Working knowledge of systematic investment workflows (e.g., factor models, portfolio construction, execution)
Strong cross-functional collaboration skills across engineering, research, and portfolio management teams
Comfort operating in evolving data environments, balancing stability with modernization Our Commitment to Inclusion & Belonging
The Hollister Group is an equal opportunity employer. We welcome and encourage applications from people who are under-represented in their respective occupations or positions.

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