Mgr-Risk Management

Job Description
The Digital Wallet Fraud Risk team is looking for energetic and high-performing Manager to drive innovation in Digital Wallet fraud risk area. You will have the power to identify interesting and actionable insights that would have a meaningful impact on our customers and our business. You will be responsible for developing and implementing new strategy and capabilities for fraud prevention. These new capabilities would utilize our rich data. In addition to managing fraud strategy for a specific segment, the role will also be responsible for defining requirements, establishing risk assessment strategies for new product initiatives and collaborating closely with stakeholders both within FRM and across external partner teams. To succeed in this role, you would need to have a very good blend of technical skills, innovative thinking and collaborative skills.

Responsibilities
Job Responsibilities:

Develop and implement fraud prevention strategies to mitigate risk in digital wallet spend.
Minimize unprofitable fraud-related disruptions with a strong focus on optimizing fraud strategy controls.
Design and implement new data features to reduce approved fraud while maintaining customer experience.
Identify and address emerging fraud trends, monitoring key metrics and taking timely corrective actions.
Provide thought leadership on fraud strategy for new payment product integrations.
Lead the integration of new data sources to strengthen fraud detection and prevention capabilities.
Collaborate with cross-functional teams including Fraud Servicing, Decision Science, Digital Labs, and U.S. Consumer and Commercial business teams on strategic fraud initiatives
Partner with fraud and technology teams to establish a robust fraud strategy framework for new proprietary product launches.
Qualifications
Minimum Qualifications:

The successful candidate will have:

3+ years’ experience implementing capabilities in complex environments.
Experience with data processing tools such as R, SQL, Hive, Yellow Brick, or Python is required
Solid understanding of statistical techniques for data analysis and correlation.
Knowledge of machine learning algorithms is a plus
Familiarity with the fraud landscape and emerging fraud trends in the card space is a plus
Understanding of payment products, emerging technologies and competitive landscape is preferred
Demonstrated ability to manage multiple priorities and work effectively in a fast-paced, dynamic environment.
Proven track record of working proactively and independently to solve problems and drive results
Strong presentation skills to convey data and fraud insights to different stakeholders
Ability to build collaborative, trusting relationships across teams.
Strong project management skills, with high energy, intellectual curiosity, and a positive, proactive mindset.
Bachelor's/Master’s degree in Business, Finance, Economics, Sciences, Mathematics, or Engineering related fields preferred
Experience in Fraud risk management

Preferred Qualifications:

Bachelor's/Master’s degree in Business, Finance, Economics, Sciences, Mathematics, or Engineering related fields preferred
Experience in Fraud risk management