Risk&AI Manager

Aviso de fuente externaen Feedzai

Lead a cross-functional team at Feedzai, managing client projects and delivering fraud strategies, models, and data-driven solutions.

Fuente externa - sin verificarhace 2 semanasVigente hasta: 27 dic 2026

Salario

No especificado

Ubicación

Bogotá, Colombia

Tipo de empleo

Tiempo completo

Modalidad

No especificado

Risk&AI Manager

Bogotá, Colombia

Descripción del empleo

About the role

Feedzai is looking for a highly motivated and technically strong leader to join its Customer Success organization as a Risk & AI Manager. You will lead a cross-functional team of Risk Consultants, Data Scientists, and Business Analysts working with large financial institutions and merchants to help fight fraud and unlock the value of Feedzai’s platform.

The team helps clients extract measurable value through optimized fraud strategies, machine learning models, business-aligned risk logic, and data insights. You will manage high-impact client projects, guide technical and strategic decisions, and grow a team of domain experts and problem solvers.

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 analysis that meet client goals and align with Feedzai’s best practices.
  • Translate business objectives into data-driven solutions and clear technical action plans.
  • Guide the integration and validation of Feedzai’s real-time and batch analytics in client environments.

Datos clave

  • The role is part of Feedzai’s Customer Success organization.
  • Lead a distributed team across multiple client engagements, typically 6–8 active projects.
  • The team works with financial institutions and merchants to help fight fraud.

Preguntas frecuentes

  • What does the Risk & AI Manager do?

    The role leads client projects and a cross-functional team delivering fraud strategies, machine learning models, risk logic, and data insights.

  • Who is on the team?

    The team includes Risk Consultants, Data Scientists, and Business Analysts.

  • What kinds of client engagements does the role manage?

    The role leads multiple client engagements, typically 6–8 active projects, with financial institutions and merchants.

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