Monitor the fraud trends in the portfolio to 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.
Develop strategies and actions that balance the tradeoff amongst fraud losses, operational expenses driven by fraud strategies, and customer impacts from fraud prevention efforts.
Collaborate with partners across the firm to deliver on joint priorities that keep the firm and our customers safe from fraud while helping the business grow.
Be responsible for working closely with the fraud risk technical product team to deliver best-in-class fraud fighting capabilities to protect our customers.
Required Qualifications, Capabilities and Skills:
Bachelor’s degree is required
4+ years of professional experience related to risk management, strategic analytics, or data science.
Strong knowledge of programming language like SAS, SQL, Python.
Strong analytical, interpretive, and problem-solving skills with the ability to interpret large amounts of data to monitor and uncover behaviors and trends in fraudulent activity.
Strong, clear, and concise written and verbal communication with ability to edit and prepare executive level communications. Proficient in Excel & PowerPoint.
Excellent organizational and project management skills; able to manage competing priorities under tight deadlines.
Proven ability to collaborate and build strong partnerships.
High degree of initiative, self-direction, and ability to work well under pressure.