Senior Corporate Actions & Data Quality Lead

Massive; Atlanta (GA); On-site; USD 180,000 - 240,000; Full time

Job summary

Massive is seeking a Corporate Actions & Data Quality Lead who will own the correctness, consistency, and long-term reliability of our corporate actions and reference datasets. This senior, high-ownership role blends domain expertise with data quality engineering, anomaly detection, and backtesting to ensure our actions remain accurate across time.

You will design validation logic, monitoring, and historical backtests; partner with engineering to strengthen ingestion and lifecycle pipelines; and

Qualifications

• Deep expertise in global corporate actions, including lifecycle events, adjustment logic, announcement types, and exchange-specific nuances.
• Experience with reference data and corporate action feeds from exchanges, issuers, or major vendors.
• 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.
• 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.

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.

Skills

Global corporate actions

Data quality engineering

Anomaly detection

Validation pipelines

SQL

Communication

Ownership mindset

Regulatory filings familiarity

OHLC data understanding

Multi-asset reference data

Tools

Bloomberg

Refinitiv

ICE

Job description

Massive is seeking a Corporate Actions & Data Quality Lead who will own the correctness, consistency, and long-term reliability of our corporate actions and reference datasets. This senior, high-ownership role blends domain expertise with data quality engineering, anomaly detection, and backtesting to ensure our actions remain accurate across time.

You will design validation logic, monitoring, and historical backtests; partner with engineering to strengthen ingestion and lifecycle pipelines; and