KX is looking for an Associate Product Manager to help drive the quality, completeness, and evolution of its market data products. This role sits at the intersection of financial markets, data engineering, and product management, focusing on improving data accuracy, reliability, and quality measurement frameworks.

You will work closely with Engineering, Data Operations, and client-facing teams to investigate data quality issues, define product improvements, and contribute to the development of KX's TrueTick data quality platform. This position is ideal for analytical professionals who enjoy solving complex data challenges and working with large-scale financial datasets.

• Define and maintain data quality standards covering accuracy, timeliness, coverage, consistency, and completeness.
• Develop quality measurement frameworks supporting TrueTick and broader data reporting initiatives.
• Create and maintain external quality metrics and industry benchmarks.
• Monitor daily quality metrics across exchanges, asset classes, and market datasets.
• Identify anomalies, data gaps, and quality issues while prioritizing based on severity and customer impact.
• Collaborate with Data Operations teams to investigate root causes and resolve data issues.
• Use AI and machine learning techniques to identify patterns and improve data quality analysis.
• Gather requirements from clients and stakeholders to define product improvements.
• Create product specifications and collaborate with Engineering teams on delivery.
• Manage product lifecycle activities including documentation, releases, and client communication.

• 1–3 years of experience working with exchange-traded time-series market data including equities, futures, options, or fixed income.
• Experience working with large-scale time-series datasets.
• Experience investigating data quality issues and performing root cause analysis.
• Strong analytical and problem-solving skills.
• Strong SQL skills for querying and analyzing complex datasets.
• Proficiency in Python for data analysis, automation, and tooling.
• Familiarity with AI tools such as Claude or similar large language models.
• Strong written and verbal communication skills.
• Ability to manage multiple priorities with a structured and detail-oriented approach.
• Bonus: Experience with OneTick, TrueTick, kdb+/q, or similar time-series database platforms.
• Bonus: Previous product management experience in fintech or financial data environments.
• Bonus: Knowledge of market data distribution, consolidated tape, or exchange operations.
• Bonus: Experience working with financial data vendors, banks, exchanges, or Data Operations teams.
• Bonus: Experience with data governance, observability, or data quality frameworks.