Job Responsibilities
- Develop new creative solutions to challenges presented by fraud activity leveraging outside the box thinking
- Work with large amounts of complex data to monitor and uncover behaviors and trends in fraudulent activity
- Monitor the fraud trends in the portfolio, develop insights around potential gaps in our defenses and propose solutions by leveraging data from across the firm, advanced machine learning models and other advanced analytics
- Leverage these analytics to develop strategies and actions that balance the tradeoff amongst fraud losses, operational expenses driven by fraud strategies and customer impacts from fraud prevention efforts
- Work closely with partners across the firm to develop a joint list of projects to deliver solutions that keep the firm and our customers safe from fraud while helping the business group
- Work on diverse tasks and respond to emerging issues
Required Qualifications, Capabilities, and Skills
- Minimum 7 years of professional experience in risk management, strategic analytics or data science
- Strong working knowledge of programming language like SAS, SQL and/or Python
- Strong analytical, interpretive, and problem-solving skills with the ability to interpret large amounts of data and its impact in both operational and financial areas
- Ability to compress large amounts of data into short and concise presentations with sound business conclusions
- Excellent analytical skills with the ability to comprehend and explain data / concepts in a clear and concise manner
- Ability to develop elegant and common-sense solutions to complex business challenges
- Proficient in Excel & PowerPoint
Preferred Qualifications, Capabilities and Skills
- Prior experience working in Fraud risk, especially Check Fraud
- Passion for problem solving