Senior Risk Quant — Counterparty Credit & SIMM/CVA Expert

CICC

Hong Kong

On-site

HKD 900,000 - 1,300,000

Full time

4 days ago
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Job summary

CICC in Hong Kong is seeking a highly analytical Risk Quantitative Analyst to develop and maintain risk analytics across the firm, focusing on counterparty credit risk management including SIMM, CVA, and PFE models.

You will lead model development, calibration, back-testing, and collaborate with validation teams while ensuring governance and policy adherence. The ideal candidate has a master's in finance/economics/math and 5+ years in credit risk quant.

Qualifications

  • Master's degree or above in finance, economics, mathematics, or related field.
  • Over 5 years of relevant credit risk quantitative management experience.
  • In-depth understanding of financial markets and products; hands-on knowledge of credit risk models (PFE, CVA, SIMM).
  • Strong proficiency in quantitative analysis, risk modeling, and statistical tools.
  • Professional certifications such as FRM, CFA or CQF are desirable.

Responsibilities

  • Lead quantitative development and research for credit risk models; support counterparty risk.
  • Lifecycle management of credit risk models: development, implementation, calibration, back-testing.
  • Collaborate with model validation to facilitate independent review of models.
  • Monitor SIMM model performance and update methodology to align with risk profile.
  • Design quantitative methodology for counterparty risk measurement (PFE, EAD, CVA, etc.).
  • Develop exposure measurement and stress-testing framework for margin and risk limits.
  • Develop credit risk quant policies, procedures and controls with IT collaboration.

Skills

Credit risk modeling
Quantitative analysis
Statistical tools
Leadership

Education

Master's degree in finance, economics, mathematics

Job description

CICC in Hong Kong is seeking a highly analytical Risk Quantitative Analyst to develop and maintain risk analytics across the firm, focusing on counterparty credit risk management including SIMM, CVA, and PFE models.

You will lead model development, calibration, back-testing, and collaborate with validation teams while ensuring governance and policy adherence. The ideal candidate has a master's in finance/economics/math and 5+ years in credit risk quant.

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