Model Risk Assistant Manager: Valuation & Derivatives

Leadingnation; Hong Kong; On-site; HKD 334,800 - 558,000; Full time

Job summary

A leading financial services company in Hong Kong seeks a candidate with a Master's degree and relevant experience in model validation and financial analysis. Responsibilities include validation of valuation models, collaboration with global risk teams, and providing training on valuation and risk calculations. The ideal candidate has strong quantitative skills and proficiency in programming languages like Python and C/C++. Bilingual candidates in English and Chinese are preferred.

Qualifications

• At least 1 year of relevant experience.
• Strong background in math, sciences or financial engineering.
• Excellent analytical, quantitative and problem-solving skills.
• Strong knowledge of options pricing theory and quantitative models for pricing and hedging derivatives.
• Experience with advanced statistical models for empirical estimation of risk models is preferred.

Responsibilities

• Produce, review and improve CLSA model validation policy and procedure.
• Responsible for financial valuation model validation and testing.
• Set up the model reserve and parameter reserve framework.
• Liaise with Global risk team for risk modelling.
• Provide valuation and risk calculation technical knowledge training.
• Work in various risk initiative groups to provide valuation model expertise.

Skills

Analytical skills

Quantitative skills

Problem-solving skills

Communication skills

Bilingual: English and Chinese

Education

Master Degree or above

Holder of CFA, FRM, or CIPM

Tools

Python

C/C++

VBA

SQL

Job description

A leading financial services company in Hong Kong seeks a candidate with a Master's degree and relevant experience in model validation and financial analysis. Responsibilities include validation of valuation models, collaboration with global risk teams, and providing training on valuation and risk calculations. The ideal candidate has strong quantitative skills and proficiency in programming languages like Python and C/C++. Bilingual candidates in English and Chinese are preferred.