Assistant Manager, Model Risk, Risk

CLSA

Hong Kong

On-site

HKD 700,000 - 1,000,000

Full time

14 days+
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Job summary

CLSA in Hong Kong is seeking an experienced quantitative risk professional to validate and test financial valuation models, including equity derivatives and interest rate derivatives. You will collaborate with product control, front office and global risk teams to ensure model integrity and robust risk measures.

The role requires strong mathematical background, programming skills in Python/C/C++, VBA and SQL, and the ability to work independently under pressure.

Qualifications

  • At least 1 year of relevant experience.
  • Strong background in math, sciences or financial engineering; Master degree or above preferred.
  • Holder of CFA, FRM, or CIPM preferred but not required.
  • 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.
  • Strong computing and development skills using Python, C/C++, VBA and/or SQL.
  • Ability to work independently under pressure.
  • Strong written and verbal communication skills, including effective presentation skills.

Responsibilities

  • Produce, review and improve CLSA model validation policy and procedure.
  • Responsible for financial valuation model validation and testing, with coverage in equity derivative model and interest rate derivative model.
  • Set up the model reserve and parameter reserve framework with product control team and front office.
  • Liaise with Global risk team for risk modelling, including model update, maintenance and different kinds of risk measure.
  • Responsible for regular model management tasks, include CVA/DVA, model review and etc.
  • Cooperate the IT/Head office Risk quant to setup the checking mechanism for data completeness and data logistics; consolidate Global head office requirements to IT and act as a communication bridge.
  • Provide valuation and risk calculation technical knowledge training to other teams, providing support for corresponding analysis.
  • Work in various risk initiative groups to provide valuation model expertise assistances and coordination.

Skills

Quantitative skills
Python
C/C++
VBA
SQL
Options pricing theory
Risk modelling knowledge
Communication skills
Analytical skills

Education

Master's degree or above
CFA/FRM/CIPM preferred

Tools

Python
C/C++
VBA
SQL

Job description

  • Produce, review and improve CLSA model validation policy and procedure
  • Responsible for financial valuation model validation and testing, with coverage in equity derivative model and interest rate derivative model
  • Set up the model reserve and parameter reserve framework with product control team and front office
  • Liaise with Global risk team for risk modelling, including model update, maintenance and different kinds of risk measure
  • Responsible for regular model management tasks, include CVA/DVA, model review and etc.
  • Cooperate the IT/Head office Risk quant to setup the checking mechanism for data completeness and data logistics. Consolidate Global head office requirement to IT team and act as a communication bridge
  • Provide valuation and risk calculation technical knowledge training to other teams, providing support with them for corresponding analysis
  • Work in various risk initiative groups to provide valuation model expertise assistances and coordination

Requirements

  • At least 1 year of relevant experience
  • Strong background in math, sciences or financial engineering. Master Degree or above is preferred
  • Holder of CFA, FRM, or CIPM is preferred, but not a must
  • 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
  • Strong computing and development skills using Python, C/C++, VBA and/or SQL etc.
  • Ability to work independently under pressure
  • Strong written and verbal communication skills, including effective presentation skills
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