Commercial Product Manager Lead Risk Analytics and Data Quality

FIS is seeking a senior, hands‑on leader to drive delivery across Risk Analytics and Data Quality initiatives. In this role you will lead a hybrid team (domestic and offshore) and partner closely with stakeholders to plan, execute, and continuously improve analytics and data‑quality solutions that support risk and compliance priorities.

• Plan, develop, and deliver analytical models including classification, predictive, scoring, and rules‑based models, as well as advanced analytics techniques (machine learning and AI).
• Perform problem framing and analysis; lead data collection, integration, exploration, and preparation to support modeling objectives.
• Guide model implementation in partnership with technology and business teams, ensuring solutions are production‑ready and measurable.
• Support analytics needs across Fraud Prevention, Anti‑Money Laundering, Compliance, Credit Risk, Market Risk, Operational Risk, and Finance.
• Apply appropriate methodology across the model lifecycle, including tracking, documentation, reproducibility, scalability, monitoring, and actionable insights.

• Develop and oversee analytical controls and reporting to identify and track data‑flow issues across systems and data sources.
• Define and monitor critical data elements; detect unexpected values and potential quality defects.
• Drive issue triage and resolution by partnering with stakeholders; track remediation through to closure.

Team & working style:
You will lead a high‑performing, globally distributed team supporting Risk Analytics and Data Quality initiatives. Success in this role requires strong collaboration across time zones and the ability to translate stakeholder needs into clear, executable plans.

• 10+ years of experience in banking and analytics, including senior‑level stakeholder engagement and delivery ownership.
• Graduate degree in Statistics, Data Science, Applied Economics, Machine Learning, or a related field (or equivalent experience).
• Strong foundation in statistics, data science, and modern analytical techniques, including machine learning and AI concepts.
• Proficiency with analytical programming and data tools such as Python, SAS, R, and SQL.
• Experience leading teams and delivering work through clear planning, prioritization, and execution.
• Excellent written and verbal communication skills, with the ability to explain complex analytical topics to technical and non‑technical audiences.
• Proficiency with Windows productivity tools (e.g., Microsoft Office).

• Working knowledge of Power BI.
• Experience with  or a similar project management tool.

EEOC Statement: FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics.

ADA Disclaimer:
All reasonable accommodation requests will be reviewed and evaluated on a case‑by‑case basis.