Credit Risk Quantitative Model Analyst Sr

Position Title

Location

Job Summary

Job Responsibilities:

• →Develop and apply mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data sets from multiple sources to develop credit risk rating models or other credit risk-related initiatives.
• →Derive model assumptions that are well reasoned and supportable.
• →Monitor the performance and calibration of existing models.
• →Implement models in code in a transparent and easily maintainable way within loan origination applications.
• →Comprehensively and clearly document all modeling or analysis work that meets internal, GAAP, and regulatory requirements; translate model theory and related results for non-quantitative audiences.
• →Develop and support strong controls for the model implementation framework and maintain related documentation.
• →Support independent model validation process, internal and external audits, and regulatory reviews.
• →Interact with model users, validators, and regulators to address model issues and remediation actions.
• →Interact with key stakeholder groups such as Accounting, Treasury, Credit, Lines of Business, Model Risk Management, and Enterprise Technology in the design, development, and ongoing usage of models.

• Performs special projects, and additional duties and responsibilities as required.
• Consistently adheres to regulatory and compliance policies and standards linked to the job as listed and complete required compliance trainings.  Accountable to maintain compliance with applicable federal, state and local laws and regulations.

• Education level required: Undergraduate Degree (4 years or equivalent)  A Bachelor’s degree in a quantitative field with additional certifications or experience.
• Minimum experience required: 6+ Years of model development, model performance monitoring or validation experience, particularly in credit risk.

• Experience with at least one of the following software packages: R, SAS, SQL, Python.

• Education level preferred: Master's Degree (or Postgraduate equivalent) Master’s degree in Statistics, Econometrics, Mathematics or related quantitative field.
• Experience with commercial dual risk rating frameworks, especially in PD/LGD/EAD modeling approaches
• Experience developing credit risk models and programing user interfaces.
• Experience with nCino implementation of risk rating models and financial spreading process.
• Working knowledge of Generally Accepted Accounting Principles (GAAP), Basel III, Dodd-Frank Act Stress Testing, CCAR, and bank accounting/regulatory reporting requirements.
• Ability to use advanced statistical and mathematical software to perform descriptive, predictive, and prescriptive analysis leveraging a variety of statistical techniques (such as segmentation, logistic regression, sensitivity analysis, and machine learning).

• Strong analytical and critical thinking skills with high attention to detail and accuracy.
• Excellent verbal, written, and interpersonal communication skills
• Ability to clearly articulate, in writing or orally, ideas, analytic insights, and recommendations to both technical and non-technical audiences, including an executive audience.
• An ability to identify key problems, conduct in-depth research, and articulate well-reasoned solutions.
• Demonstrates a strong ability to build and maintain effective relationships with stakeholders by communicating clearly, engaging in proactive collaboration, and leveraging cross functional insights. Aligns relationship building efforts with enterprise goals to accelerate performance and drive strategic results.
• Builds trusted client relationships, whether internal or external, by identifying needs and delivering tailored solutions to enhance the overall client experience.
• Fosters or supports a positive work culture and productive work environment, displaying importance of effective relationships with customers and stakeholders.
• Travel is not required for this role.
• Physical demands (ADA): No unusual physical exertion is involved.

We are committed to providing clear and accurate compensation information in accordance with applicable laws. Actual starting base pay will be determined based on location, experience, and other non-discriminatory factors permitted by law. Total compensation may also include variable incentives, bonuses, commissions, or other awards as outlined in the offer of employment. Flagstar provides teammates access to a variety of benefits including medical, dental, vision, life, and disability insurance, as well as a comprehensive leave program. Please click the following link for detailed information: Benefits | Flagstar Bank

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