This position will be on the forefront of Fraud/Risk Management, and will be part of a risk team dedicated to bringing state-of-the-art analysis and tools to Fingerhut.

You will be involved in a wide array of projects, including but not limited to:

Mitigate fraud losses through identifying complex and dynamic fraud patterns using complex analysis and/or modeling techniques

Fraud rules review, understand implications of product type on fraud behaviors, etc

Assist in the development of analytics to determine difference between First Pay Defaults and First Party Abuse

Improve current fraud policies and strategies by in-depth examination

Demonstrate effectiveness of strategies through performance analytics and reports

Must be able to work with Fraud operations team to implement new strategies

Recommend processes and procedures that improve fraud management

Utilize their ability to quickly identify loopholes in current systems, policies, and strategies and follow up with appropriate actions that are critical in preventing emerging fraud risks. In addition, you will work with the team in identifying, evaluating, and developing new systems and procedures that are cost effective and meet business requirements.


Minimum Qualifications:

Proficiency in SAS

At least 5 years of statistical analysis experience at a financial institution

3-5 years of experience working with risk management, fraud policies, strategies, and fraud analytics strategy

A BA/BS degree (MS Degree or above strongly preferred) in Statistical/Economics and/or Business Field or equivalent experience

Exceptional analytical skills with the ability to present findings concisely and clearly

Flexibility and ability to thrive in a rapidly changing, fast-paced environment

Team player