Fraud Strategy Analyst

US-MD-Bowie
5 months ago
Job ID
2263
Category
Fraud and Compliance
Schedule
Monday - Friday 8:00am - 4:30pm

Overview

FIND YOUR PURPOSE. JOIN OUR MISSION

 

As one of the largest credit unions in the region and top performing in the nation, NASA Federal Credit Union members enjoy banking with an organization that's well established, financially sound and thrives on technology. With a strong heritage to serving the needs of individuals in the science, technology and engineering fields, the credit union philosophy of “People Helping People” has always been a priority.

 

We offer a generous benefit package:

  • 401(k) match to 5% of earnings – immediate enrollment and 100% vesting
  • Choice of two health plans – 80% employer contribution
  • Dental – 85% employer contribution
  • Life Insurance – no cost
  • Long-term Disability Insurance – no cost
  • Employee Assistance Program – no cost
  • Paid vacation
  • Paid sick time
  • 10 Paid holidays
  • Profit Sharing eligible

Responsibilities

  • Develop and deploy fraud strategies to detect and prevent fraud losses for NASA FCU cards and ACH Transactions. 
  • Design transaction fraud strategies which effectively minimize cardmember disruptions while balancing financial impact and risk to the credit union.
  • Works closely with other stakeholders to identify and mitigate ID theft and application fraud
  • Monitors effectiveness of analytical methods and performance
  • Participates in Member Information System development to minimize member impact of fraud prevention strategies
  • Ability to respond after-hours, weekends and holidays to a fraud event
  • Proficiency working with large datasets
  • Performs statistical analysis, including trend analysis, regression analysis, and model validation
  • Ability to handle multiple priorities simultaneously, with proven skills to effectively manage prioritization while effectively meeting deliverables

Qualifications

  • Bachelor’s Degree in any of the following: Mathematics, Computer Science, Engineering, Economics, Business, Finance, Statistics, or a related field is preferred Advanced degree in a quantitative or a related field is highly preferred
  • Three years of risk experience in banking/financial industry preferred
  • Experience in fraud mitigation and risk analytics in credit card or related consumer products highly preferred
  • Experience and expertise in VISA Data Manager, Risk Services Manager and Managed Real-Time Programs through VISA preferred
  • Solid knowledge of statistical concepts, predictive modeling, and analytic tools

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