Risk and AI Manager

Posted 59mins ago

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Job Description

Risk & AI Manager leading fraud-prevention analytics teams and client projects at Feedzai, which uses AI to combat financial crime. Delivering models, risk strategies, and data insights.

Responsibilities:

  • Lead a distributed team of Risk Consultants, Data Scientists, and Business Analysts across multiple client engagements, typically 6–8 active projects
  • Ensure delivery of fraud detection strategies, rules, models, and analyses aligned with client goals and Feedzai best practices
  • Translate complex business objectives into data-driven solutions and clear technical action plans
  • Guide integration and validation of Feedzai’s real-time and batch analytics into client environments
  • Support identification of misfit cases, performance improvements, and recommended enhancements
  • Collaborate with Engineering, Product, and Delivery on scope feasibility, performance requirements, and long-term strategy
  • Mentor team members, manage performance reviews, and support professional development
  • Stay current with fraud patterns, machine learning best practices, and real-world financial systems
  • Manage a portfolio of high-impact client projects and lead technical and strategic decision-making

Requirements:

  • MSc or PhD in Computer Science, Engineering, Applied Math, Physics, Statistics, or another technical/quantitative discipline
  • Strong background in data science, fraud detection, or real-time decision systems
  • Hands-on experience with machine learning, data analysis, and scripting languages such as Python or R
  • Familiarity with big data platforms such as Spark, Hadoop, or cloud-native data pipelines
  • Experience managing technical teams in cross-functional delivery environments
  • Ability to navigate ambiguity, translate between technical and business needs, and prioritize effectively under pressure
  • Excellent communication and storytelling skills, with the ability to work with client SMEs and internal stakeholders
  • Experience in financial crime prevention, including fraud, AML, or risk strategy, is highly valued

Benefits:

  • Training, connections, and one-on-one time with your manager during the first 30 days
  • Virtual or onsite colleague shadowing depending on work location
  • Access to extensive company and team information
  • Professional development through feedback, coaching, and career planning
  • Equal Opportunity Employer commitment and diverse workplace