Risk Mining Analytics Manager, Payment Risk ML

hace 2 semanas


San José, San José, Costa Rica Amazon Support Services Costa Rica SRL A tiempo completo
Job Description

As a Risk Mining Analytics Manager at Amazon Support Services Costa Rica SRL, you will lead a team of skilled analysts in conducting in-depth analyses to identify emerging fraud patterns. Your responsibilities will include providing strategic guidance and mentorship to your team, overseeing analytical deep dives, collaborating with cross-functional stakeholders to communicate findings, cultivating a dynamic and challenging work environment, serving as a subject matter expert, ensuring adherence to policies and ethical conduct, identifying process improvements, and participating in strategic planning related to risk analytics initiatives.

Key Responsibilities
  • Lead a team of analysts in conducting in-depth analyses to identify emerging fraud patterns
  • Provide strategic guidance and mentorship to your team
  • Oversee analytical deep dives
  • Collaborate with cross-functional stakeholders to communicate findings
  • Cultivate a dynamic and challenging work environment
  • Serve as a subject matter expert
  • Ensure adherence to policies and ethical conduct
  • Identify process improvements
  • Participate in strategic planning related to risk analytics initiatives
Requirements
  • Bachelor's degree in a relevant field (e.g., Statistics, Mathematics, Computer Science, or a related analytical discipline) or equivalent experience
  • +5 years of experience in data analysis roles
  • 2+ years of experience leading, managing and developing teams
  • Strong analytical and problem-solving skills
  • Excellent written and verbal communication abilities
  • Hands-on experience with data analysis tools and programming languages (primarily SQL)
  • Strong project management and organizational skills
Preferred Qualifications
  • Experience in risk analytics, fraud detection, or related domains
  • Knowledge of agile methodologies and project management frameworks
  • Proficiency in programming languages like Python, R, or SQL


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