Analytics Manager, Full Stack (Fraud Analytics)

About This RoleAI processing…

Key Responsibilities

• 1
  Develop strategies for monitoring and preventing fraud across our network, advising on best practices and ensuring the strategies align with risk management goals.
• 2
  Leverage advanced data analytics to identify loss drivers, derive insights and optimize fraud management strategies
• 3
  Report on fraud trends and loss drivers to cross functional partners and senior management
• 4
  Quickly respond to fraud rings and ensure issues raised by other teams are addressed in a timely manner
• 5
  Work together with our operations team to help limit losses and ensure optimal review volumes
• 6
  Assist with evaluation and development of new external or internal features/signals to improve our fraud detection capabilities
• 7
  Assist with team planning and goal setting as well as coaching and mentorship of more junior team members

Requirements

• 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

Perks & Benefits