Risk Analyst - Risk Quant

CICC; Hong Kong; On-site; HKD 700,000 - 1,300,000; Full time

Job summary

CICC in Hong Kong is seeking a highly analytical Risk Quantitative Analyst to develop, implement, and maintain risk models focused on counterparty credit risk. You will lead quantitative research for credit risk models, ensure model lifecycle management, and collaborate with validation teams to ensure robust risk controls.

The role requires deep knowledge of PFE, CVA, and SIMM, strong statistical skills, and the ability to work across front-to-back offices.

Qualifications

• Master's degree or above in finance, economics, mathematics, or related field.
• 5+ years of relevant credit risk quantitative management experience within a financial institution or investment bank.
• Hands-on expertise with credit risk models (PFE, CVA, SIMM).
• Knowledge of regulatory frameworks for credit risk and model risk management.
• Proficiency in quantitative analysis, risk modeling, and statistics.

Responsibilities

• Lead quantitative development and research for credit risk models and support counterparty risk.
• Lifecycle management of credit risk models: development, calibration, back-testing.
• Collaborate with model validation to facilitate independent reviews.
• Monitor and update SIMM and related margin models to meet risk profile needs.
• Design quantitative methodology for counterparty risk measurement (PFE, EAD, CVA).
• Implement exposure measurement and stress-testing to improve margins and limits.
• Develop credit risk policy documentation and controls for firm-wide risk governance.
• Provide quantitative support for counterparty risk, SIMM, CVA, and credit capital across front-to-back offices.
• Collaborate with IT to implement exposure measurement on systems and architecture.

Skills

Quantitative analysis

Credit risk modeling

Risk analytics

Statistical tools

Education

Master's degree in finance/economics/mathematics

Tools

Python

R

SQL

Excel

Job description

We are seeking a highly analytical and detail-oriented Risk Quantitative Analyst to join our team in Hong Kong. The Risk Quantitative Analyst will be responsible for developing, implementing, and maintaining the risk analytical models to measure and monitor risks across the organization with specific focus on counterparty credit risk management, such as SIMM, CVA, PFE models.

Job responsibilities:

• Lead quantitative development and research for credit risk models and work closely with credit risk teams to provide quantitative support the counterparty risk
• Take responsibility on credit risk models lifecycle management, including model development, implementation, calibration, and back-testing
• Collaborate closely with the model validation team to facilitate the validation or independent review of the credit risk models
• Perform continuous monitoring of the performance of the UMR initial margin model (SIMM model) and support the update of the methodology to drive the enhancement of the model to fulfil the risk profile of our business
• Design and establish the quantitative methodology for counterparty risk management and drive the development of the counterparty risk measurement (e.g PFE, EAD, CVA, wrong way risk etc.)
• Design and implement counterparty risk exposure measurement and credit risk stress-testing framework to further improve the margin methodology and limit framework
• Develop and maintain credit risk quant related policies, procedures, and controls, and ensure their effective implementation
• Provide support on credit risk quantitative matters for counterparty risk, SIMM, CVA and credit capital across different Front to Back office
• Provide quantitative requirements to collaborate with IT to develop and implement counterparty risk exposure measurement on the IT system, including support the design of the architecture on counterparty risk management system
• Develop a robust credit risk quant team to support the development of quantitative risk analytics for the firm

Job requirements:

• Master's degree or above in finance, economics, mathematics, or a related field.
• Over 5 years of relevant credit risk quantitative management experience within an investment bank or financial institution
• In-depth understanding of financial markets and products, as well as hands‑on expertise and knowledge on credit risk models (PFE, CVA, SIMM etc);
• Sound knowledge of regulatory frameworks and requirements related to credit risk and model risk management
• Proficiency in quantitative analysis, risk modeling, and statistical tools to support the development of counterparty risk exposure and margining methodology
• Sound and solid analytical and problem-solving skills, with the ability to identify and assess complex counterparty risks
• Proven leadership and team management skills, with the ability to collaborate and manage diverse stakeholder relationships
• Excellent communication skills, with the ability to effectively and concisely explain complex concepts
• Good verbal and written communication skills in both Chinese and English
• Professional certifications such as FRM or CFA or CQF are desirable.

Disclaimer:

CICC is committed to fostering an environment of equity and diversity. We recognize the importance of fair treatment in all aspects of our business, from recruitment and hiring to professional development and advancement.

CICC aims to build an inclusive workplace that values the diverse backgrounds, ideas, and cultures of our employees. We strive to create an environment where every employee feels heard, supported, and empowered to contribute to the company's growth and success. By leveraging our collective strengths, we aim to drive innovation and achieve excellence in the industry.

It is CICC’s responsibility to provide equal employment opportunities to all prospective employees, regardless of race, ethnicity, gender, age, disability, or any other characteristics protected by law.

The preceding job description has been designed to indicate the general nature and level of the work to be performed by employees within this classification. It is not intended to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.