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

7+ 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
Ability to work later starts several days a week so as to allow for increased overlap with US based colleagues.
Technical skills
Extensive experience writing and analyzing SQL queries; comfort using python or other scripting languages for data analysis
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
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

Analytics Manager – Full Stack

Key skills