Fiserv-posted 3 months ago
$71,250 - $114,000/Yr
Full-time • Mid Level
Onsite • New York, NY
Credit Intermediation and Related Activities

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. What does a successful Senior Data Analyst do at Fiserv? Under the guidance of a director or Portfolio Manager, you will support transaction risk management for a portfolio of merchant accounts. Develop, test, and implement machine learning models and rules to mitigate fraud and credit risk. Analyze ambiguous data to understand trends, reach conclusions, and develop strategies to improve portfolio performance. Provide internal and external reporting and analytics on an ongoing and ad hoc basis. Monitor key metrics and ensures accounts are meeting all contractual SLAs. Communicate directly with external customers. Works with minimal supervision.

  • Support transaction risk management for a portfolio of merchant accounts.
  • Develop, test, and implement machine learning models and rules to mitigate fraud and credit risk.
  • Analyze ambiguous data to understand trends, reach conclusions, and develop strategies to improve portfolio performance.
  • Provide internal and external reporting and analytics on an ongoing and ad hoc basis.
  • Monitor key metrics and ensure accounts are meeting all contractual SLAs.
  • Communicate directly with external customers.
  • Work with minimal supervision.
  • Bachelor's degree is required.
  • 3-5 years of experience in an analytical role.
  • Strong background in a technical or analytical business environment with a proven track record of success and increasing responsibilities.
  • Experience working with, understanding, and analyzing large data sets.
  • Experience with Excel and SQL.
  • Solid written and verbal communication skills.
  • Masters' degree.
  • Python, R Studio, or other statistical languages.
  • Experience with SAS.
  • Tableau, Power BI, and other data analytics and visualization tools.
  • Predictive modeling and big data experience.
  • Background in a modeling and testing (champion/challenger) environment.
  • An understanding of the check/ACH/payments industry.
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