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EY FSO - Risk Consulting FSRM Model Quant 
China, Hong Kong, Hong Kong Island 
754041177

15.07.2025

Background

Responsibilities

As a Manager within the Financial Services Risk Management (“FSRM”) Team your role involves developing and implementing risk solutions for financial institutions clients with a focus on credit risk and climate risk.

  • Project delivery and team management:
    • Lead multiple engagements and ensure on-time and high-quality delivery
    • Lead day to day client and stakeholder communication and management
    • Provide coaching and mentoring to junior team members
    • Continuously enhance existing solutions serving for credit risk management
    • Develop new solutions to address evolving market needs
  • Business Development / Pitching
    • Build and maintain relationships with internal and external stakeholders
    • Proactively identify and pursue new opportunities

Skills

  • 5+ years of work experience with knowledge and hands-on experience in one or more of the following areas:
    • Data analytics
    • Credit risk IRB models for retail and wholesale exposures
    • Expected Credit Loss models
    • Credit risk stress testing models and scenario generation
    • Internal Capital Adequacy Assessment Program (ICAAP)
    • Policy and procedure, key control points, end-to-end process credit risk area including loan approval / post-lending monitoring for both retail and wholesale exposures
    • AI use case development experience on credit risk area
    • Climate risk management / ISSB reporting
  • Possesses strong project management skills and consulting skills, and able to adapt quickly and manage an environment of rapid change and development, and effectively lead others through this process;
  • Someone who think out-of-the-box while developing models, reports or data code to solve challenging problems.

Background

  • Master or Bachelor degree holder with major in Mathematical, Engineering, Statistical, Quantitative Finance, Computer Science or Artificial Intelligence
  • Sound knowledge in statistical, quantitative analysis and data base language, strong background in programming languages (i.e., Python, SAS, R, SQL)
  • Experience with deep learning tools such as Keras, TensorFlow, PyTorch, & MXNet
  • Proficient in Microsoft Excel, PowerPoint and Word
  • Excellent communication and presentation skills, good command of written and spoken Chinese and English
  • Ability to work collaboratively with team members and to work independently
  • Ability to multi-task, prioritize workload and meet deadlines