Director of Data Science - Risk Monitoring Solutions

Calling all innovators - find your future at Fiserv. We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Job Title Director of Data Science - Risk Monitoring Solutions About the role As Director II of Data Science for Risk Monitoring Solutions, you will be a senior leader within Merchant Solutions Decision Science & Risk Solutions, responsible for shaping and executing the strategy for AI/ML-powered portfolio management capabilities that accelerate sustainable growth for our Risk Monitoring solutions. You will lead the development of predictive models, real-time decisioning, and automated risk controls that help manage fraud and credit risk exposure while enabling revenue growth and improving the overall merchant experience. This role will initially oversee growth in Risk Monitoring Solutions, with a primary focus on advancing real-time fraud detection capabilities for existing merchant populations. As the function and business needs evolve, the position may expand to include leadership of Clover Capital and Financial Value-Added Services, creating broader opportunities to drive portfolio growth and commercial value across the merchant lifecycle. Success in this role requires strong partnership across Decision Science teams, Operations, Product, Technology, and client-facing teams. You will connect analytical innovation to business strategy, influence investment priorities, and ensure solutions are adopted, scaled, and optimized to deliver growth, stronger portfolio performance, and an improved merchant experience. What you will do: Lead the multi-year strategy for Risk Monitoring Solutions, aligning capabilities, product roadmaps, and investment priorities to merchant risk and fraud management, retention, and decisions focused on risk-adjusted profitability. Lead modernization of portfolio analytics and decisioning through new data sources, advanced AI/ML techniques, real-time capabilities, experimentation, and reusable decision services. Build, lead, and develop a high-performing organization of Data and Decision Science professionals, establishing clear priorities, strengthening leadership capacity, and creating a culture of innovation, accountability, and measurable impact. Identify and prioritize high-value opportunities across existing merchant portfolios, using merchant behavior, transaction activity, and external data to improve detection of fraud and risk events, and reduce avoidable attrition. Own the end-to-end development of predictive models, decision frameworks, and automated risk strategies—from opportunity sizing and business case development through deployment, adoption, monitoring, and continuous optimization. Represent Risk Monitoring Solutions with senior executives, clients, and strategic partners, communicating the vision, influencing decisions, and building strong capabilities. Maintain strong model governance, controls, and monitoring practices so that growth is delivered responsibly, transparently, and at scale. What you will need to have: Bachelor’s degree in Statistics, Mathematics, Data Science, Computer Science, Engineering, Economics, Finance, or a related quantitative discipline; advanced degree preferred. 12 years of progressive experience in data science, predictive modeling, fraud / risk analytics, or a related quantitative discipline, including significant experience leading leaders and multidisciplinary teams. Demonstrated expertise in AI/ML, advanced analytics, experimentation, and decision optimization, with experience moving solutions from concept to production and scaled business adoption. Proven success defining and executing data and decision science strategies that drive fraud detection to reduce losses, revenue growth, customer retention, operating efficiency, or risk-adjusted profitability. Strong knowledge of payments, merchant acquiring, lending, fraud, credit risk, including how data and decisioning can create value across the merchant lifecycle. Executive-level communication and influence skills, with the ability to align senior stakeholders, present compelling business cases, and translate complex analytical concepts into clear decisions and outcomes. Experience leading cross-functional transformation across Product, Technology, Risk, Operations, Sales, and client-facing organizations. Working knowledge of modern analytical and data technologies, including Python, Snowflake, cloud platforms, real-time decisioning, and model deployment and monitoring environments. What would be great to have: Master’s degree or PhD in Statistics, Mathematics, Data Science, Computer Science, Engineering, Economics, Finance, or another quantitative discipline. Deep expertise in AI/ML techniques and advanced statistical modeling, including experience applying predictive analytics to business and risk management challenges, building or scaling analytics products, decision platforms within payments, fintech, lending, or financial services. Expertise in fraud, credit risk, merchant lifecycle analytics, and customer retention strategies. Track record of commercializing analytical capabilities and partnering with Product and Sales teams to strengthen client propositions and support revenue growth. Experience leveraging credit bureau, alternative, and third-party data sources to enhance risk assessments, predictive models, and automated decision strategies. Experience leading organizational change, modernizing analytical practices, and developing senior technical and people leaders. How you will work: This role is on-site Monday through Friday. Fiserv considers in-person collaboration to be an essential part of this role as in-person office experience helps you with your overall onboarding experience and leads to stronger productivity. Sponsorship: You must currently possess valid and unrestricted U.S. work authorization to be considered for this role. Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or TN, or any candidate requiring sponsorship, now or in the future, will not be considered for this role. Benefits at Fiserv: Fuel Your Life wellness program with activities and rewards to support total well-being Paid statutory holidays, Recharge & Refuel vacation (years-of-service tiers), and a Paid Sick Time program No-cost, confidential support through the Employee Assistance Program (EAP) for you and household members Recognition through Living Proof, with points redeemable for merchandise and gift cards Eight Employee Resource Groups to build connection and inclusion RRSP with 100% company match up to 5%, a Non-Registered Savings Plan (NREG), and an Employee Stock Purchase Plan (ESPP) Comprehensive extended health care and vision benefits, plus dental coverage Company-paid Basic Life and AD&D, with optional life and AD&D coverage available Company-paid Short-Term Disability and Long-Term Disability income protection Emergency medical coverage for out-of-province/out-of-country travel via extended health benefits #LI-CD1 Salary Range $155,000.00 - $258,000.00 These pay ranges apply to employees in New Jersey and New York. Pay ranges for employees in other states may differ. It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran. For incentive eligible associates, the successful candidate is eligible for an annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards in the Company’s sole discretion. Thank you for considering employment with Fiserv. Please: Apply using your legal name Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable). Our commitment to Equal Opportunity: Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. 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