Fiserv is looking to support transaction risk management for a portfolio of merchant accounts by developing, testing, and implementing machine learning models and rules to mitigate fraud and credit risk.
Requirements
- Experience working with, understanding, and analyzing large data sets.
- Experience with SQL
- 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.
Responsibilities
- 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.
- Work with minimal supervision.
Other
- 3 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.
- This role is on-site Monday through Friday.
- Applicants must be authorized to work for any employer in the US.
- We are unable to provide employer sponsorship or take over sponsorship of an employer sponsored visa at this time.
