Fraud Risk Manager, NZ — Shape Safer Payments

Revolut Ltd

New Zealand

On-site

AUD 120,000 - 180,000

Full time

14 days+

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Job summary

Revolut is seeking an experienced Fraud Risk Manager to lead financial crime risk governance for the New Zealand region, protecting customers and maintaining a strong user experience.

You will monitor fraud across the customer lifecycle, assess risk with external data providers, and implement controls and training to support compliant deployments. Strong data skills and collaboration across global teams are essential.

Qualifications

  • 4+ years of experience managing fraud in financial services or payments
  • Expertise in fraud risks within payments, banking, or investment services
  • Ability to manipulate, analyse, and draw conclusions from data using SQL
  • Strong communication and cross-functional collaboration across teams
  • Comfortable working with ambiguity and in a self-guided manner
  • Experience managing projects and/or teams

Responsibilities

  • Monitor fraud risk throughout the customer lifecycle and detect emerging patterns
  • Analyze fraudster profiles and fraud types (synthetic identities, money mules)
  • Develop solutions to reduce fraud risk and losses while minimising impact on good customers
  • Evaluate external risk data providers and monitoring solutions
  • Define capability roadmaps to improve KPIs
  • Conduct risk assessments for new or changed products and features
  • Contribute to NZ-specific fraud servicing training
  • Report on fraud matters to the local MLRO
  • Apply regulatory landscape changes to local processes and procedures

Skills

Fraud risk management
Data analysis
Communication
Regulatory awareness
Project management
Cross-functional collaboration
Ambiguity tolerance

Tools

SQL

Job description

Revolut is seeking an experienced Fraud Risk Manager to lead financial crime risk governance for the New Zealand region, protecting customers and maintaining a strong user experience.

You will monitor fraud across the customer lifecycle, assess risk with external data providers, and implement controls and training to support compliant deployments. Strong data skills and collaboration across global teams are essential.

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