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.

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Technology Analyst Program - Data Science
Fiserv’s Technology Analyst Program is an early career development program where candidates experience two structured assignments within one specific track over a 2 - 2.5-year time period. Each assignment builds upon the other and together will provide a breadth of experience within Fintech and unique to you! We are looking for upcoming university graduates with drive, enthusiasm, and an evolving target for their careers. The best and brightest will be the framework of the firm’s future, a pipeline of top talent for positions in critical functional areas across the firm.
As a part of the Merchant Solutions – Fraud & Credit Risk, Decision Science & Risk Solutions team, you’ll be using internal and external data assets to generate insightful analytics, build AI/ML based models/rules, create data driven capabilities/solutions to manage risk and identify new areas of opportunity. Key functions supported by the team include New Merchant Onboarding & Underwriting, Existing Merchant Risk Monitoring, Cash Advance/Lending Products, and other/commercial Risk Solutions. This position will be a critical interface with stakeholders within and outside Fiserv in building best-in-class analytical solutions.

• Designing and implementing ML / predictive models by utilizing internal and external data available and applying statistical techniques.
• Tracking and monitoring model performance and provide analytical support to business partners for addressing their questions regarding automated decisions or automated alerts through informed analytics.
• Conduct complex analysis using statistical and other industry leading quantitative techniques.
• Evaluating and integrating data from internal and external sources to support modeling, analytics, and reporting.
• Supporting the transformation of risk data capabilities and decision systems through advanced and sustainable technology, new data sources and real-time decisioning.
• Implementing models and decision rules in production in partnership with IT / deployment teams.
• Develop documentation to support internal and external stakeholder requirements.