The mission of Corporate Risk Management is to provide an integrated risk management strategy that supports delivery of predictable financial and operational performance in order to produce successful client and shareholder outcomes. The Transaction Risk Interdiction and Detection team (TRIAD) manages risk of fraud loss in money movement and account open transactions. This individual contributor role is accountable for successfully optimizing client experience, fraud loss, and operational burden in their assigned fraud prevention channel(s).
What you are good at
Development and management of fraud prevention strategies leveraging a wide array of data and predictive models for use in real-time decision engines and covert surveillance
Tactical ownership of fraud risk policies and procedures to support various payment product / service offerings;
Daily monitoring and analysis of relevant data to identify and escalate emerging fraud trends.
Participate in the design and testing of technology enhancements that support fraud risk management.
Maintain, render and present reporting of results against defined performance goals.
Support the development of long-term strategic risk management policies and approaches to reduce the risk of fraud loss while maintaining a best in class client experience.
Identify and champion process improvement opportunities in all aspects of the position’s duties and responsibilities.
What you have
2+ years of data analytics and/or general analysis experience, ideally in a fraud risk management environment.
Strong technical capabilities:
SQL
Experience working with database platforms such as Oracle and Teradata
Programming experience with Python and/or SAS
Experience with Hadoop or other Big Data solutions
Strong quantitative and analytical skills; experience in payments and/or payments fraud preferred
Demonstrated ability to process large quantities of data, summarize key findings, and present effectively to team members, senior leadership and internal customers
Working knowledge of gathering and documenting data requirements and analyzing those requirements from a business perspective
Bachelor’s degree in Data Analytics, Finance, Mathematics, Statistics, or related field
Applicable experience may substitute for degree
Advanced knowledge of Microsoft Office products especially Excel
Excellent communication and relationship skills
A basic understanding of fraud risk decision strategy development and decision engine strategies is preferable.
Understanding of and experience in wire transfer, (FedWire), a plus.
Our purpose is to champion every client’s goals with passion and integrity, empowering them to take ownership of their financial future at every income level and life stage.