Manager, Fraud Machine Learning

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Extend

πŸ’΅ $190k-$210k
πŸ“Remote - United States

Summary

Join our team at Extend as we modernize the protection plan industry using cutting-edge technology and top-notch customer service. As a Risk Analytics leader, you will own the implementation of technologies and strategies to prevent and detect claim fraud and abuse across various post-purchase products.

Requirements

  • 8+ years of work experience building and deploying machine learning systems into production
  • 2+ years experience mentoring and managing ML teams
  • Proven track record building fraud detection or risk assessment tools
  • Solid understanding of fundamental computer science concepts, software design best practices, software development lifecycle and common machine learning design patterns
  • Expertise in Python/R, SQL; experience with TypeScript/JavaScript is a plus
  • Strong people leadership skills; ability to develop top machine learning talent and leaders
  • Excellent stakeholder management, with a track record of working cross-functionally to deliver results
  • Empathy and humility

Responsibilities

  • Own the implementation of technologies and strategies to prevent and detect claim fraud and abuse across a variety of post-purchase products, including product protection and shipping protection
  • Lead a team of machine learning data scientists to develop robust and intuitive machine learning models to identify fraudulent activity and actors
  • Closely partner with product, engineering, and operations teams to productionalize and optimize fraud detection and related models
  • Cultivate a culture of learning and collaboration within and across partner teams
  • Perform design and code reviews to raise the technical excellence bar
  • Hire, mentor and coach junior data scientists
  • Optimize and deploy machine learning models through all phases of development, from design through training, evaluation, validation, and implementation

Benefits

  • Competitive salary based on experience
  • Full medical and dental & vision benefits
  • Stock in an early-stage startup growing quickly
  • Very generous, flexible paid time off policy
  • 401(k) with Financial Guidance from Morgan Stanley
This job is filled or no longer available