Analytics Manager, Full Stack (Fraud Analytics)

About This Role

Key ResponsibilitiesAI-extracted

• 1
  Develop strategies for monitoring and preventing fraud across the 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
  Assist with evaluation and development of new external or internal features/signals to improve fraud detection capabilities.

RequirementsAI-extracted

• 7+ years of experience in Fraud Management or a related field, with a prior emphasis on analytics.
• Technical skills, including extensive experience writing and analyzing SQL queries and comfort using Python or other scripting languages for data analysis.
• Ability to thrive in a fast-paced environment and be responsive and available during times of peak fraud activity.
• Strong communication skills, with the ability to build strong cross-functional partnerships and communicate analyses and recommendations clearly to both technical and non-technical audiences.
• Typically: Bachelor’s degree in a quantitatively rigorous field like engineering, statistics, math, finance, or economics.

Perks & BenefitsAI-extracted