Associate Product Manager

Role Description

We're looking for an Associate Product Manager to help drive the quality, completeness, and evolution of our market data products. In this role, you'll operate at the intersection of financial markets, data engineering, and product management. You'll help define how data quality is measured, monitor quality across our datasets, investigate issues at their source, and contribute to the development of our TrueTick data quality product. As part of the Product team, you'll work closely with Engineering, Data Operations, and client-facing teams to ensure our data meets the highest standards of accuracy, consistency, and reliability. This is a high-impact role for someone who enjoys solving complex data problems, working with large-scale market datasets, and shaping products used by some of the world's leading financial institutions.

What You Will Do

• Data Quality Standards & Measurement:
  • Define and own the standards for data quality and completeness across all dimensions: accuracy, timeliness, coverage, consistency, and completeness.
  • Develop and publish external quality metrics and industry benchmarks that clients and prospects can evaluate and trust.
  • Build and maintain the quality measurement framework that underpins the TrueTick product and broader data quality reporting.
• Daily Quality Operations:
  • Monitor daily quality metrics across all covered exchanges, asset classes, and data types.
  • Identify anomalies, gaps, and quality failures as they emerge - triaging by severity and client impact.
  • Partner with the Data Operations team to diagnose root causes and drive timely resolution of data issues.
  • Leverage AI and machine learning techniques to surface patterns, accelerate root cause analysis, and identify systemic quality trends that manual review would miss.
• TrueTick Product Management:
  • Gather requirements from clients, internal stakeholders, and market feedback to define and prioritize product enhancements with Product Lead.
  • Write clear product specifications and work with Engineering to deliver features on time and to standard for Product Lead.
  • Manage the full product lifecycle from ideation through release, including documentation and client communication.

Qualifications

• 1–3 years of hands-on experience working with exchange-traded time series market data - equities, futures, options, or fixed income.
• Proficiency in SQL for querying, analyzing, and investigating large time series datasets.
• Proficiency in Python for data analysis, investigation, automation, or tooling.
• Familiarity with AI tools including Claude or similar large language models for analysis, automation, or root cause investigation.
• Strong analytical and problem-solving skills - you enjoy finding the needle in the haystack.
• Clear written and verbal communication - able to explain complex data issues to both technical and non-technical audiences.
• Structured, detail-oriented working style with the ability to manage multiple concurrent priorities.

Preferred

• Experience with OneTick, kdb+/Q or similar time series database and analytics platforms.
• Exposure to data quality frameworks, observability tooling, or data governance practices.
• Prior product management experience in a financial data or fintech environment.
• Understanding of exchange data distribution, consolidated tape, and market data operations.
• Experience working with or alongside Data Operations or Market Data teams at a bank, exchange, or data vendor.

Skills at a Glance

• Exchange Time Series Data
• Product Roadmap Ownership
• SQL
• Python
• TrueTick / OneTick
• AI / Claude
• kdb+ / Q

Benefits

• Unlimited vacation days
• Private healthcare
• Performance-based growth
• Opportunity to work on high-impact projects for regulators, central banks, and hedge funds
• Meaningful work with challenging tasks and real impact

Equal Employment Opportunity

As an Equal Employment Opportunity (EEO) Employer, OneMarketData prohibits discriminatory employment actions against and treatment of its employees and applicants for employment based on actual or perceived characteristics protected by law.