Director, Credit Stress Loss Modeling
Sumitomo Mitsui Banking Corporation
Jersey City, NJ · HybridFull-time$173–228K/yrSeen 3 days agoSeen in employer's feed 3 days ago
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Job overview
Sumitomo Mitsui Banking Corporation seeks a Director, Credit Stress Loss Modeling to develop, validate, and implement credit risk models for regulatory stress testing, CECL, and capital planning. The role leads model development and calibration, supports model governance and regulatory reviews, and collaborates with Finance, Risk, and IT to operationalize models. It also mentors junior quantitative analysts and promotes knowledge sharing on emerging topics.
Skills & qualifications
Skills
Qualifications
Full job description
Experience Required
10 years
Minimum Education Required
Master's degree
Expected Start Date
10/30/2026
Compensation
$173,202.00 - $228,000.00 / Yearly
Hours Per Week
40
Number Of Positions
1
Shift
First Shift (Day)
Job Description
Employer: Sumitomo Mitsui Banking Corporation
Job Title: Director, Credit Stress Loss Modeling
Job Location: 200 Hudson Street, Jersey City, NJ 07311
Duties: Develop, validate, and implement credit risk models to support regulatory stress testing, CECL, and capital planning. Support credit grading model development for SMBC’s Wholesale Credit portfolios and lead end-to-end development, calibration, and documentation of credit risk models (PD, LGD, EAD, and loss forecasting) used in stress testing and capital planning. Develop stress testing models to assess the impact of various macroeconomic scenarios, including CCAR scenarios, and design scenario-based frameworks aligned with regulatory guidelines. Participate in the development and calibration of risk scoring models for internal ratings-based (IRB) approaches, as well as for pricing, underwriting, and portfolio management. Enhance modeling methodologies by applying advanced statistical techniques, including machine learning and survival analysis, to improve predictive performance and scalability. Partner with Model Risk and Validation (MRV) teams and model owners to address validation findings and ensure compliance with governance standards. Conduct ongoing model performance monitoring through back-testing, benchmarking, and sensitivity analysis, and document model assumptions, limitations, and remediation plans to support audit and regulatory reviews. Implement robust controls to ensure model accuracy and stability across varying economic conditions, and support responses to regulatory exams and audits, ensuring adherence to SR 11-7, Basel III, and CCAR requirements. Collaborate with Finance, Risk, and IT teams to operationalize models into production systems and integrate them into reporting workflows. Mentor junior quantitative analysts by providing technical guidance and fostering professional development and promote knowledge sharing on emerging topics such as AI/ML applications and climate risk integration.
*Hybrid remote work is permitted
Requirements: Master’s degree in statistics, mathematics, applied science, or a related field plus 10 years of experience. Experience must include the following: Python, SAS, R. or other programming language used for quantitative analytics and modeling; CCAR and regulatory stress testing frameworks; vendor data sources including Moody’s CRD/DRD, S&P data, Trepp data, CoStar datasets; wholesale credit model development, including commercial real estate (CRE) and/or commercial and industrial (C&I) portfolios; statistical and econometrics modeling; and data analysis. The required skills do not need to be maintained over the full term of required experience.
Benefits: https://careers.sumitomocorp.com/content/why-sc-americas/
Place of Work
Hybrid
Requisition ID
8619
Job Type
Full Time
Application Instructions
Please email CV to [email protected]. Must reference requisition# 8619 to be considered.
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