AVP, Credit Risk Analytics & Modeling

Bocusa; New York, Northern (NY, KY); Hybrid; USD 65,000 - 150,000; Full time

Job summary

Bank of China in New York seeks an experienced credit risk professional to lead the development and maintenance of credit risk models and analytics infrastructure. The role covers CECL, stress testing, risk rating models, and governance across validation, documentation, and implementation.

The ideal candidate has strong quantitative skills, 4+ years in financial risk, and familiarity with corporate finance products.

Qualifications

• Bachelor’s degree in Statistics/Mathematics/Physics/Computer Science/Engineering or other quantitative fields required; Master’s preferred.
• 4+ years of experience in stress testing, allowances methodology, risk rating modeling and credit risk management at a financial institution.
• CPA/CFA/FRM preferred; broad knowledge of credit markets and products including corporate loans, structured loans, leveraged loans, M&A finance, project finance and trade finance.

Responsibilities

• Develop credit risk models (including CECL and stress testing) and document them comprehensively.
• Prepare model development data and support data readiness for model implementation.
• Perform quantitative research to implement model changes and remediation plans.
• Collaborate with stakeholders during model development; build tools and dashboards for risk analysis.
• Identify model shortcomings and design enhancement plans; quantify uncaptured risks and integrate them into strategy.
• Support model owner discussions and provide training to model users.
• Coordinate remediation of model validation findings and enhance documentation to meet framework requirements.
• Maintain model inventory and perform annual reviews and ongoing performance monitoring.

Skills

Quantitative analysis

Stress testing

Model development

Regulatory compliance

Data analysis

Education

Bachelor's degree in quantitative field

Master's degree preferred

Job description

Bank of China in New York seeks an experienced credit risk professional to lead the development and maintenance of credit risk models and analytics infrastructure. The role covers CECL, stress testing, risk rating models, and governance across validation, documentation, and implementation.

The ideal candidate has strong quantitative skills, 4+ years in financial risk, and familiarity with corporate finance products.