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About the Role

Design, implement, and deploy prescriptive analytics and optimization models that drive automated, high-impact business decisions. This role focuses on formulating and solving optimization problems to support decisions across risk management, limits, and pricing, operating at the intersection of Operations Research, Decision Science, and Applied Analytics.

Responsibilities

• Formulate decision problems as mathematical optimization models, explicitly defining decision variables, objective functions, constraints and trade-offs.
• Design and implement prescriptive analytics solutions, including linear and integer programming constrained optimization, stochastic or scenario-based optimization.
• Build optimization models to support business decisions such as credit limits and exposure allocation, fraud and risk prioritization under capacity constraints, pricing, policy thresholds, and approval strategies.
• Translate optimization outputs into automated decisioning frameworks deployed in production systems.
• Develop predictive models using large datasets, leveraging machine learning and traditional techniques.
• Partner with stakeholders to ensure optimization models reflect real-world operational constraints and business objectives.
• Evaluate and communicate trade-offs using decision-centric metrics.
• Integrate optimization models with predictive ML outputs.
• Maintain model governance, documentation, and validation artifacts.
• Contribute to continuous improvement of decision frameworks, including sensitivity analysis and scenario testing.

Requirements

• Bachelor’s / Master’s degree in a quantitative field (Mathematics, Statistics, Computer Science, Operations Research).
• Demonstrate hands-on Operations Research or optimization experience.
• 5 years of relevant risk analytics experience.
• 3 years of experience in driving technical project delivery.
• Strong foundation in Operations Research, Applied Mathematics, Industrial Engineering, or Decision Science.
• Proven experience formulating and solving optimization problems.
• Hands-on experience with one or more of Linear / Integer Programming and Constrained Optimization.
• Experience using optimization solvers or OR libraries, such as: Pyomo, Gurobi, PuLP.
• Strong Python and SQL skills for data preparation and model integration.
• Must currently possess valid and unrestricted U.S. work authorization. Individuals with temporary visas or requiring sponsorship will not be considered.

Skills

• Operations Research
• Optimization
• Prescriptive Analytics
• Mathematical Optimization
• Linear Programming
• Integer Programming
• Constrained Optimization
• Stochastic Optimization
• Scenario-based Optimization
• Predictive Modeling
• Machine Learning
• Python
• SQL
• Pyomo
• Gurobi
• PuLP
• Risk Management
• Pricing
• Limits
• Capacity Planning
• Decision Automation
• Real-time Decisioning
• Agile Methodology
• JIRA
• Confluence
• ML Model Pipelines
• Feature Stores
• Credit Bureaus
• External Data Sources

Location

• On-site

Work Type

• On-site
• Full-time

Experience Level

• Staff
• 5 years of relevant risk analytics experience
• 3 years of experience in driving technical project delivery

Education Level

• Bachelor’s degree in a quantitative field
• Master’s degree in a quantitative field

Salary/Compensations

• $110,000.00 - $186,000.00

Benefits

• Fuel Your Life program
• Paid holidays
• Generous time away policies
• No-cost mental health support through Employee Assistance Programs
• Living Proof program
• Eight Employee Resource Groups
• Professional growth opportunities
• Training
• Development
• Internal mobility opportunities
• Retirement planning
• Discounted shares with the Employee Stock Purchase Plan
• Medical insurance
• Dental insurance
• Vision insurance
• Life insurance
• Disability insurance
• Tuition assistance and reimbursement program
• Paid parental leave
• Paid caregiver leave
• Paid military leave

About the Company

• Fiserv is a global leader in Fintech and payments, connecting financial institutions, corporations, merchants and consumers.
• Fiserv is the global leader in information management and electronic commerce systems for the financial services industry.

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.
• It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.