Polygon.io · 1 day ago
Corporate Actions & Data Quality Lead
United States
Full-time
Remote
Senior LevelPolygon.io is dedicated to providing accurate financial market data, and they are seeking a Corporate Actions & Data Quality Lead. This role involves ensuring the correctness and reliability of corporate actions and reference datasets, requiring a blend of expertise in corporate actions and data quality engineering.
Developer APIsFinancial ExchangesFinTechStock Exchanges
Responsibilities
Own the full lifecycle of corporate actions—splits, dividends, mergers, symbol changes, spin-offs—ensuring accuracy, completeness, and correct historical adjustments
Develop and run backtesting frameworks that validate corporate action logic across historical datasets, comparing expected vs. actual outcomes and surfacing discrepancies
Build automated anomaly detection, reconciliation checks, and quality monitoring rules across multiple data sources (exchanges, issuers, regulatory filings, vendor feeds)
Identify, triage, and resolve inconsistencies in reference data, instrument metadata, and lifecycle transitions
Partner with engineering to strengthen ingestion logic, normalization rules, and lifecycle pipelines affected by corporate actions and reference changes
Document corporate action logic, adjustment methodologies, and lifecycle decisions so downstream teams can rely on clear, explainable rules
Collaborate with product, data, and derived dataset teams to ensure adjustments and lifecycle events propagate correctly across every surface
Work with global exchanges and data partners to clarify ambiguous events and resolve conflicting information
Establish and maintain systematic data quality standards that prevent issues from re-occurring
Qualification
Required
Deep expertise in global corporate actions, including lifecycle events, adjustment logic, announcement types, and exchange-specific nuances
Experience working with reference data and corporate action feeds from exchanges, issuers, or major vendors (Bloomberg, Refinitiv, ICE, etc.)
Strong ability to detect and diagnose data anomalies, inconsistencies, missing events, or incorrect adjustments
Experience designing or operating validation pipelines, reconciliation systems, or backtest-like frameworks for data correctness
Comfort working with structured data (SQL or similar) and understanding event sequences over time
Clear, precise communication—able to explain complex lifecycle logic to product, engineering, and customers
A high-ownership mindset, with a drive to close the loop on root causes and improve systems long-term
Preferred
Familiarity with exchange circulars, regulatory filings, and issuer notices is a plus
Understanding of how corporate actions influence historical OHLC, factors, and analytical datasets is a plus
Experience with anomaly detection tools, statistical checks, or data quality SLOs is a plus
Knowledge of multi-asset reference data structures is a plus
Company
Polygon.io
Massive empowers participation in the financial markets by providing fair access to market data through a developer-focused platform.
Founded in 2016
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$6.35MKey Investors
Headline
2020-09-16Series A· $5.75M
2019-10-02Convertible Note· $0.1M
2019-08-12Convertible Note· $0.5M
Leadership Team
Quinton Pike
Founder
Recent News
Newsfile
2025-11-15
EIN Presswire
2025-11-03
Company data provided by crunchbase