Principal Data Scientist - Debit Card Fraud Risk

General information

# 21090

Remote? No

Ally Financial only succeeds when its people do - and that’s more than some cliché people put on job postings. We live this stuff! We see our people as, well, people - with interests, families, friends, dreams, and causes that are all important to them. Our focus is on the health and safety of our teammates as well as work-life balance and diversity and inclusion.

From generous benefits to a variety of employee resource groups, we strive to build paths that encourage employees to stretch themselves professionally. We want to help you grow, develop, and learn new things. You’re constantly evolving, so shouldn’t your opportunities be, too?

As a seasoned contributor on the Fraud Analytics, Strategies and Trends (FAST) team, the Principal Data Scientist plays an integral role in Ally’s defense against fraud threats. Through the use of advanced analytics techniques, the Principal Data Scientist continually seeks to Discover, Develop, and Deploy new countermeasures suitable to detect fraudulent activity, and disrupt continually changing ongoing attacks, preventing bank losses and improving the customer’s experience.

In office role with hybrid schedule. Ally work locations Charlotte NC, Fort Washington PA, Lewisville TX, Jacksonville FL

At this time, Ally will not sponsor a new applicant for employment authorization for this position.

• Discover new fraud threats through active involvement in mitigating current fraud trends, deconstruction of past events, and staying current with the changing fraud landscape.
• Discover deeper knowledge of existing vendors, as well as exploring new partners in the fraud fight through active involvement with vendor engagements and POC analytics.
• Discover new data sources and new methods for protecting the banks customers and minimizing losses through the use of emerging technologies and data manipulation techniques.

• Develop and monitor dashboards to observe daily behavior for abnormalities or elevated activity, then research behavior to determine if risky behavior is present.
• Develop new fraud referrals, strategies, and models that alert or interdict on risky behavior through using large transactional and behavioral data sets to conduct business analysis through the use of advanced analytics to find patterns of fraudulent behavior.
• Develop analysis to support potential policy and/or procedural changes in order to reduce fraud and improve the customers experience.
• Develop proposals for fraud strategies and/or other mitigation efforts, and present findings to partner teams for approval.
• Develop new techniques for fraud analysis, as well as recommendations for internal FAST policies and/or procedures to help drive efficiencies and repeatable quality results.
• Develop strong relationships with other FAST team members to drive collaboration, shared insights across the team, as well as coaching and mentoring peers toward improvement.
• Develop strong relationships with key business partners both inside and outside Fraud Prevention, pursuing solution delivery and shared successes.

• Deploy new countermeasures such as referrals, strategies, and models to combat emerging threats, deterring bad actors from continuing their attacks.
• Deploying effective monitoring techniques, ensuring high performing and controlled results are sustained.
• Deploy findings of analysis through effective presentation skills and use of influence.
• Deploy thorough controls that include not only well-developed countermeasures, but also detailed change control and backup documentation to ensure controls are understood and sustained.

• 5+ years of work experience in Data Science or Advanced Analytics role, using advanced data manipulation techniques to solve business problems required.
• Debit/Credit Card fraud prevention strategy experience preferred
• Experience with authorization rules engines preferred
• Strong knowledge of and hands on experience with:
  Statistical and machine learning programming tools such as Python and R as well as hands on experience with model development. Experience with Data Robot and…