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Financial Services Risk Management
Background
Within EY FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients identify, measure, manage and monitor credit risk, climate risk.
And AI risk.
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 deliveryLead day to day client and stakeholder communication and managementProvide coaching and mentoring to junior team membersContinuously enhance existing solutions serving for credit risk managementDevelop new solutions to address evolving market needs Business Development / Pitching Build and maintain relationships with internal and external stakeholdersProactively 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 analyticsCredit risk IRB models for retail and wholesale exposuresExpected Credit Loss modelsCredit risk stress testing models and scenario generationInternal 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 exposuresAI use case development experience on credit risk areaClimate 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 IntelligenceSound knowledge in statistical, quantitative analysis and data base language, strong background in programming languages (, Python, SAS, R, SQL)Experience with deep learning tools such as Keras, TensorFlow, PyTorch, & MXNetProficient in Microsoft Excel, PowerPoint and WordExcellent communication and presentation skills, good command of written and spoken Chinese and EnglishAbility to work collaboratively with team members and to work independentlyAbility to multi-task, prioritize workload and meet deadlines