The Fraud Strategy & Analytics team works cross-functionally with Machine Learning, Product, Engineering, and Operations to combat fraudulent activities and to foster a safe platform.

We're looking for a new team member to help lead our team’s fraud monitoring and detection efforts and own critical fraud issues. Additionally, this role will work closely with our cross functional partners to help improve our fraud detection and decisioning systems.

What you'll do

• Lead a team of analysts to monitor fraud across our network and ensure issues raised by other teams are addressed in a timely manner
• Report on fraud trends and loss drivers to cross functional partners and senior management
• Quickly respond to fraud rings and work with our operations team to limit losses
• Assist with development of our fraud monitoring strategy and work together with our operations team to ensure optimal review volumes
• Assist with evaluation and development of new external or internal features/signals to improve our fraud detection capabilities
• Assist with team planning and goal setting as well as coaching and mentorship of more junior team members

What we look for

• EXPERIENCE - Minimum 5 years of experience in Fraud Management or a related field preferred with a prior emphasis on analytics.
• PRODUCT KNOWLEDGE - Passion to understand how the product works and how to change it to make it more effective
• Able to thrive in a fast-paced environment and be responsive and available during times of peak fraud activity
• TECHNICAL SKILLS - Extensive experience writing and analyzing SQL queries and performing analysis using tools such as Python, Notebooks, R, or Excel along with ability to teach technical skills to others
• COMMUNICATION - Ability to build strong cross functional partnerships and work with a diverse range of teams across the organization. Ability to communicate analyses and recommendations clearly to both technical and non-technical audiences
• MULTI-TASKING - Strong time management skills and the ability to shift focus on a moment's notice to respond to changes in fraud pressure and tactics
• EDUCATION - Bachelor’s degree in a quantitatively rigorous field like engineering, statistics, math, finance, economics desired
• INDUSTRY KNOWLEDGE - Working knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with risk strategy development