Analytics Manager (Full Stack, Fraud Analytics)

• 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 fraud escalations as we scale internationally
• Additionally, this role will work closely with our cross functional partners to help develop our fraud detection and decisioning systems
• Develop strategies for monitoring and preventing fraud across our network, advising on best practices and ensuring the strategies align with risk management goals
• Leverage advanced data analytics to identify loss drivers, derive insights and optimize fraud management strategies
• Report on fraud trends and loss drivers to cross functional partners and senior management
• Quickly respond to fraud rings and ensure issues raised by other teams are addressed in a timely manner
• Work together with our operations team to help limit losses and 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

Benefits

• Compensation: We have a simple, flexible, and transparent remote-first compensation structure so you can make the best decisions for yourself and your family
• Spending Wallets: Access tech, food, lifestyle, and family planning wallets for your expenses
• Supportive Communities: Get involved with our employee resource groups and community groups
• Remote-first Workforce: If your role is remote, you can set up shop anywhere in your home country
• Generous Time Off: Take the time you need when life happens
• Health Benefits: Get a plan that fits your needs
• Mental Healthcare: Take care of your mind with great mental health programs
• Parental Leave: Birth and non-birth parents get 18 weeks’ paid leave. Plus, a 4-week return-to-work transition program, at full base pay
• Away Days: We offer 20 company-wide paid days off—which help our teams collectively pause to recharge
• Learning & Development: Engage in exciting learning programs to level up your growth- Able to thrive in a fast-paced environment and be responsive and available during times of peak fraud activity
• Ability to work later starts several days a week so as to allow for increased overlap with US based colleagues
• Product knowledge - Passion to understand how the product works and how to change it to make it more effective
• 7+ years of experience in Fraud Management or a related field preferred with a prior emphasis on analytics
• 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
• Technical skills - Extensive experience writing and analyzing SQL queries; comfort using python or other scripting languages for data analysis
• Industry knowledge - Working knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with risk strategy development
• Bachelor’s degree, or local equivalent, in a quantitatively rigorous field like engineering, statistics, math, finance, economics desired
• 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