ApplySarthi

VP, Product

Fis

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Machine learning jobs · Product management jobs

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  1. Why do you want to join Fis?
  2. What is your experience with Machine learning? Tell me one thing you learned the hard way.
  3. Tell me about a problem you solved at work that you are proud of.
  4. Tell me about a time you disagreed with your manager. What happened?
  5. Where do you want to be in three years?

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Job Description The Opportunity FIS is one of the world’s largest financial technology companies, a Fortune 500 and S&P 500 company serving banks, financial institutions, and businesses across six continents. We manage approximately 190 million deposit and wealth management accounts, power 1.1 billion payments accounts, and process more than 70 billion transactions annually. Our fraud and financial crimes capabilities sit at the foundation of that infrastructure, protecting consumers, institutions, and the financial system at a scale that few companies in the world can match. The fraud and financial crimes product role drives the protection of millions of customer accounts world- wide every day. Preventing fraud here means protecting generational wealth, life savings, company assets as well as preventing financial crime, identity theft, and regulatory exposure globally. We are in the middle of a significant transformation. FIS is investing heavily in building proprietary fraud signals, next-generation machine learning models, and AI-driven detection capabilities — not simply integrating third-party tools, but constructing a differentiated, data-rich fraud intelligence platform from the ground up. This role is central to that work, and the person who fills it will have an outsized impact on how FIS competes and serves its clients for years to come. The Role The VP, Product will own the product roadmap and strategy for FIS’s Enterprise Fraud & Financial Crimes portfolio . The position will report to the SVP of Fraud & Financial Crimes and lead a team of product managers, each leading their own PM teams across the portfolio. This is a role for someone who has built and run product at a fraud or financial crimes company — someone who knows what a modern, technically differentiated fraud roadmap looks like, has shipped it, and is ready to bring that standard to one of the largest financial technology platforms in the world. What You’ll Do Own the end-to-end product roadmap for the Enterprise Fraud & Financial Crimes portfolio Set product strategy that reflects the full breadth of the portfolio. Your depth in transaction monitoring will raise the bar across the platform, but this role is not transaction monitoring alone, it spans the entire fraud and financial crimes stack. Partner directly with FIS’s Data & AI product leads to define and drive the roadmap for proprietary fraud models, signals, and intelligence capabilities — a central pillar of FIS’s platform transformation. Lead a senior product management organization spanning multiple product lines, providing clear ownership, strategic direction, and career development across the team. Drive enterprise architecture and product strategy to ensure the platform scales to support financial institutions of every size, configurable to diverse client needs while maintaining a coherent long-term vision. Engage directly with clients — from the largest global banks to community institutions — to validate priorities, understand needs, and surface outside-in perspective into the roadmap. Align cross-functional teams across engineering, data science, compliance, operations, and commercial to deliver coordinated product outcomes. Connect product decisions to business results — client adoption, revenue growth, fraud detection effectiveness, false-positive reduction, and measurable client outcomes. What We’re Looking For A product leader who has built fraud products. You have owned a roadmap at a fraud technology company, a fintech, or a financial institution where product was the core discipline. You know what modern fraud product looks like because you have shipped it. A background leading fraud product strategy at a cutting-edge fraud or financial crimes company is highly valued, as is experience leading fraud product at a financial institution or payments company — provided you owned the roadmap, not solely operations. Deep transaction monitoring expertise. You understand the mechanics of rules engines, behavioral signals, and ML-based detection across cards and money movement. This is your strongest domain, and it shows — but you think in terms of the full portfolio, not just one capability. Experience building proprietary fraud models and signals. You have led the product side of building proprietary fraud detection models and signals: defining which data and signals matter, partnering with data science to develop and productionize models, and turning them into differentiated capabilities clients rely on. You treat models and signals as products, with their own roadmaps, performance metrics, and feedback loops. Breadth across the fraud and financial crimes stack. You understand end-customer authentication, identity, AML and financial crimes, and how these capabilities fit together into a coherent, enterprise-grade platform. Technical fluency. You do not need to write code, but you need to be the kind of product leader who gets into architecture conversations, challenges technical tradeoffs, and drives roadmaps alongside engineering and data science. You have managed technical teams and held them accountable to delivery. Commercial and enterprise orientation. You understand how to build products that serve large, complex enterprise clients and how product decisions translate to revenue, adoption, and client value. Executive presence and stakeholder credibility. You can operate at the client C-suite level and internally across a large, matrixed organization. Nice to Have Experience as a head of product or equivalent at a fraud technology company or fraud-focused fintech. Background leading fraud product at a financial institution or large payments company, with direct ownership of the product roadmap. Familiarity with integrated fraud and AML transaction monitoring platforms. Experience building or scaling AI, ML, or rules-based fraud detection products. FIS is committed to providing its employees with an exciting career opportunity and competitive compensation. The pay range for this full-time position is $202,260.00 - $343,840.00 and reflects the minimum and maximum target for new hire salaries for this position based on the posted role, level, and location. Within the range, actual individual starting pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Any changes in work location will also impact actual individual starting pay. Please consult with your recruiter about the specific salary range for your preferred location during the hiring process. 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

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Listed on workday · posted 2026-10-27. ApplySarthi collects openings and links to application pages; the role is advertised by Fis, not by us.