Consultant – Risk & Security Solutions

Visa Visa · Fintech · Guangzhou, China, China

This role focuses on managing client engagements in payment risk and security solutions, involving data analysis, fraud mitigation, and authorization optimization. It requires proficiency in SQL and Python for data analysis, and a working knowledge of Generative AI and LLM concepts to explore their application in improving analysis efficiency and automating workflows. The role involves configuring and optimizing Visa's risk solutions and translating analytical findings into actionable recommendations for clients.

What you'd actually do

  1. Manage a portfolio of client engagements across acceptance and issuing use cases, serving as a trusted advisor on payment risk strategy, fraud mitigation, and authorization optimization.
  2. Conduct in-depth analysis of transaction data, fraud patterns, and authorization performance using SQL, Python, and Visa's proprietary analytics platforms to identify risks, trends, and actionable optimization opportunities.
  3. Configure, monitor, and optimize Visa risk solutions — including CyberSource Decision Manager, Visa Risk Manager (VRM), and Visa Consumer Authentication Service (VCAS) — aligned with each client's business objectives and risk appetite.
  4. Develop and deliver data-driven recommendations through client-facing presentations, performance reports, and strategy reviews, translating complex analytical findings into clear, actionable insights.
  5. Drive continuous improvement across managed service engagements by tracking KPIs (e.g., fraud rates, false positive rates, approval rates), conducting periodic performance reviews, and proactively identifying enhancement opportunities.

Skills

Required

  • SQL
  • Python
  • risk management
  • fraud mitigation
  • authorization optimization
  • data analysis
  • client-facing presentations
  • Generative AI concepts
  • LLM concepts

Nice to have

  • CyberSource Decision Manager
  • Visa Risk Manager (VRM)
  • Visa Consumer Authentication Service (VCAS)

What the JD emphasized

  • Generative AI-enabled workflows for analysis and reporting
  • exploration of Generative AI-enabled workflows
  • GenAI-Driven Workflow Transformation
  • Working knowledge of Generative AI and LLM concepts

Other signals

  • Generative AI-enabled workflows for analysis and reporting
  • exploration of Generative AI-enabled workflows
  • GenAI-Driven Workflow Transformation
  • Working knowledge of Generative AI and LLM concepts