Senior Product Manager - Risk Analytics & Data Quality

Commercial Product Manager Lead for Risk Analytics and Data Quality FIS Global 3.4 3.4 de 5 estrellas 347 Riverside Avenue, Jacksonville, FL 32202 Full-time FIS Global 2,801 evaluaciones Lee opiniones sobre trabajar en esta empresa. Información del empleo Tipo de empleo Full-time Descripción completa del empleo Position Type : Full time Type Of Hire : Experienced (relevant combo of work and education) Job Description 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 supporting risk and compliance priorities. What you will do: Lead day-to-day delivery for Risk Analytics and Data Quality workstreams, balancing people leadership with hands-on analytical execution. Supervise, coach, and develop a team of domestic and offshore data professionals; coordinate workload, priorities, and delivery commitments. Partner with stakeholder teams across Risk Analytics and Enterprise Data Management to scope work, set expectations, and deliver results. Own project planning, execution, and reporting for assigned initiatives; manage resources and risks to meet timelines and quality expectations. Establish and maintain standards for documentation, reproducibility, scalability, and model/data governance. Risk Analytics responsibilities Plan, develop, and deliver analytical models including classification and predictive models, scoring and rules-based models, and other advanced analytics techniques (machine learning and artificial intelligence). 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 (AML), 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. Data Quality responsibilities 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. Required Qualifications: 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). Preferred Qualifications: Working knowledge of Power BI. Experience with Monday.com or a similar project management tool. Privacy Statement FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice. 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. The EEO is the Law poster is available here supplement document available here For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. Sourcing Model Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. #pridepass crea una cuenta de Indeed antes de continuar a la página web de la empresa. #J-18808-Ljbffr