SVP Commercial Credit Risk Modeler

Job Purpose & Scope - 4 days on site

Develops and maintains credit risk models for a commercial banking portfolio with significant exposure to commercial real estate (CRE).

Essential Job Functions

1. Builds and maintains credit risk models (PD, LGD, EAD) tailored to commercial real estate exposures.


2. Utilizes Moodys RiskCalc and CMM tools to assess borrower and property-level or collateral-level risk.


3. Conducts model performance monitoring, benchmarking, and back-testing.


4. Ensures compliance with regulatory standards (e.g., CECL, Basel III, SR 11-7).


5. Analyzes CRE loan and borrower data to identify risk trends and portfolio vulnerabilities.


6. Prepares model documentation and presentations for internal and regulatory stakeholders.


7. Collaborates with data teams to ensure data quality and consistency.


8. Partners with Credit, Lending, Finance, and Risk teams to integrate model insights into credit decisioning and portfolio management.


9. Supports stress testing, scenario analysis, and capital planning initiatives.


10. Assist in regulatory exams and internal audit reviews related to credit risk modeling.


11. Maintain robust documentation and version control for all models.

Knowledge, Skills & Abilities

1. Comprehensive knowledge of CECL, Basel III, and CRE-specific risk metrics (e.g., DSCR, LTV).


2. Knowledge of commercial lending products and their impact on balance sheet and liquidity.


3. Strong ability to exercise discretion and sound judgment in decision-making.


4. Ability to translate complex quantitative findings into actionable business insights.


5. Ability to prepare written deliverables and presentations for board and management committees, senior leaders, and business unit managers.


6. Ability to demonstrate effective interpersonal, communication, and analytical skills.


7. Ability to demonstrate creativity, critical thinking, initiative, and problem-solving skills.


8. Ability to work cross-functionally and influence decision-making.


9. Ability to operate and work collaboratively in a fast-paced, unpredictable environment, with tight deadlines.


10. Ability to manage multiple work streams and deliverables, and coordinate across functional initiatives.


11. Ability to communicate effectively both verbally and in writing including excellent presentation skills.


12. Ability to lead and manage other staff effectively.


13. Ability to demonstrate effective leadership skills.


14. Ability to maintain attention to detail.

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15. Proficient skill in Python, R, SAS, or SQL for data analysis and model development.


16. Skill in using computer and Microsoft Office, including Word, Excel, PowerPoint, and Outlook.

Basic Qualifications

1. Bachelors in Quantitative Finance, Statistics, Economics, Mathematics, or related field, or commensurate work experience, required. Masters degree in similar fields, preferred.


2. 6+ years of experience in credit risk modeling within a commercial banking environment, required.


3. 2+ years of experience with Moodys RiskCalc and CMM, required.


4. 2+ years of experience leading work projects, managing, or supervising/mentoring others, required.

Job Expectations

Job Expectations: Operate customary equipment and technology used in a business environment, with or without accommodation.

Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexians platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.

Dexians brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit to learn more.

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.