Senior Quantitative Risk Modelling & Model Validation Lead

BOCI; Hong Kong; On-site; HKD 1,000,000 - 1,800,000; Full time

Job summary

BOCI in Hong Kong seeks a senior quantitative risk professional to lead development and deployment of risk models, providing quantitative support to risk control teams for new business lines and structured products.

You will own end-to-end model lifecycle, monitor SIMM, enhance counterparty risk measurements, calibrate LTV models, and work with IT to automate risk metrics and real-time monitoring.

Qualifications

• Bachelor’s or Master’s degree in financial engineering, quantitative risk management, or STEM.
• 5+ years of relevant quantitative risk management experience.
• Candidates with 2+ years of full-time experience in Hong Kong or overseas are advantageous.

Responsibilities

• Lead quantitative research and development for quantitative risk models.
• Drive end-to-end lifecycle management of quantitative risk models (development, implementation, calibration, backtesting).
• Support model design and deployment for new business lines and structured products.
• Collaborate with the model validation team for validation or independent review of quant risk models.
• Perform continuous monitoring of SIMM, analyze margin shortfalls/backtesting breaches, and drive model updates.
• Design and enhance counterparty credit risk measurements (CEM, PFE, CVA) and stress-testing engines.
• Calibrate LTV models in Securities Margin Financing and Prime Brokerage; benchmark against market standards and regulations.
• Formulate quantitative business requirements and work with IT to automate risk exposure metrics and real-time monitoring.

Skills

Quantitative analysis

Risk modeling

Statistical tools

Excel VBA

Python

Bilingual (Chinese/English)

Problem solving

Education

Bachelor’s or Master’s in Financial Engineering / Quantitative Risk Management

Tools

C/C++

Java

Python

Job description

BOCI in Hong Kong seeks a senior quantitative risk professional to lead development and deployment of risk models, providing quantitative support to risk control teams for new business lines and structured products.

You will own end-to-end model lifecycle, monitor SIMM, enhance counterparty risk measurements, calibrate LTV models, and work with IT to automate risk metrics and real-time monitoring.