Model Risk Manager – Pricing Models / Quantitative Market Risk

• Perform model assessment, including model assumptions, limitations, inputs and outputs, methodology, implementation, monitoring and control, etc;
• Identify model risk issues, prepare documents, communicate with model stakeholders and follow up with remediation plan;
• Enhance model risk management policies, standards, procedures, controls and maintain model inventory;
• Create new tools / techniques that will enhance the group level risk monitoring and quantification capability;
• Participate in project related tasks such as new business / product approval, and risk system implementation and validation;
• Perform regular independent model validation with replicating method or building up challenge models when necessary.

Requirements:

• University degree in Financial Engineering, Quantitative Finance, Economics, Applied Mathematics, Statistics, Risk Management or other related quantitative disciplines;
• Advanced degree or FRM / CFA qualification is an advantage;
• Solid theoretical knowledge in derivatives and structured products pricing;
• 2 - 5 years of experience in quantitative developing and structuring, pricing model validation, or market risk management in exotic equity derivatives;
• Experience in developing or validating risk models (including derivatives pricing model, SIMM, VaR, FRTB, etc.);
• Experience and knowledge with any of Acadia RAL, ICE Data Derivatives, MSCI RM, Numerix, ORE is an advantage;
• Strong programming skills (C++/VBA/Python/R/SQL);
• Experience in AI Agent deployment for data analysis / model validation is an advantage;
• Good communication and writing skills, with positive teamwork and self-driven attitude.

We offer attractive remuneration package and fringe benefits to the right candidate. Interested applicants please send detailed resume stating present & expected salaries and date of availability.

(Data collected will be kept strictly confidential and used for recruitment purpose only.)