Technology - Analyst Program I

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

Technology - Analyst Program I

Technology Analyst Program - Data Science

Fiserv’s Corporate 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 Financial Tech and unique to you!

What does a successful Technology Analyst do at Fiserv?

You will be a part of Merchant Solutions – Fraud & Credit Risk, Decision Science & Risk Solutions team, responsible for developing and deploying predictive ML models/rules in the form of automated risk controls that help in reducing fraud and credit risk losses as well as enabling top line growth and improving merchant experience.  As a part of the team, you will 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.

You must possess unrestricted work authorization and not require future sponsorship.

What you will do: ​

• Design and implement predictive models

• Track and monitor model performance and provide analytical support

• Conduct complex analysis using statistical and other industry leading quantitative techniques

• Evaluate and integrate data from internal and external sources to support modeling, analytics, and reporting

• Partner with business and technical SMEs to understand relevant data

• Develop documentation to support internal and external stakeholder requirements

• Support Cross-Functional Efforts

What you need to have:

• Recent graduates of a bachelor’s degree or military equivalent (3.0 + GPA)

• Demonstrated analytical capabilities

• Proficient in SQL/SAS/Python, Excel or other analytical tools / open-source programming languages

• Ability to work collaboratively in a dynamic team environment

What would be great to have:

• Military-Affiliated candidates encouraged to apply (Veterans, Military Spouses, and Guard/Reservists)

#FSAP

This role is not eligible to be performed in Colorado, California, District of Columbia, Hawaii, Maryland, New York or Washington.

Please note that salary ranges provided for this role on external job boards are salary estimates made by outside parties and may not be accurate.

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).

What you should know about us:

Fiserv is a global leader in payments and financial technology with more than 40,000 associates proudly serving clients in more than 100 countries. As one of Fortune® magazine's "World's Most Admired Companies™" 9 of the last 10 years, one of Fast Company’s Most Innovative Companies, and a top scorer on Bloomberg’s Gender-Equality Index, we are committed to innovation and excellence. 

Our commitment to Diversity and Inclusion:

Fiserv is an Equal Opportunity Employer, and we welcome and encourage diversity in our workforce that reflects our world. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disabi