Asks for

The ad says“Working knowledge of Generally Accepted Accounting Principles (GAAP), Basel III, Dodd-Frank Act Stress Testing, CCAR, and bank accounting/regulatory reporting requirements.”
The ad says“Working knowledge of Generally Accepted Accounting Principles (GAAP), Basel III, Dodd-Frank Act Stress Testing, CCAR, and bank accounting/regulatory reporting requirements.”
The ad says“Working knowledge of Generally Accepted Accounting Principles (GAAP), Basel III, Dodd-Frank Act Stress Testing, CCAR, and bank accounting/regulatory reporting requirements.”
The ad says“Working knowledge of Generally Accepted Accounting Principles (GAAP), Basel III, Dodd-Frank Act Stress Testing, CCAR, and bank accounting/regulatory reporting requirements.”
The ad says“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).”
The ad says“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).”
The ad says“Experience with at least one of the following software packages: R, SAS, SQL, Python.”
The ad says“Experience with at least one of the following software packages: R, SAS, SQL, Python.”
The ad says“Experience with at least one of the following software packages: R, SAS, SQL, Python.”
The ad says“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).”
The ad says“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).”
The ad says“Experience with at least one of the following software packages: R, SAS, SQL, Python.”
The ad says“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).”

Position Title

Credit Risk Quantitative Model Analyst Sr

Location

Nationwide, MI 48098

Job Summary

The Senior Credit Risk Quantitative Model Analyst supports the Credit Risk Administration Team with the development, testing, implementation, monitoring, documentation, and maintenance of all credit risk rating models. Responsibilities include sourcing, cleaning, and transforming data; researching applicable methods; training and testing a variety of specifications; documenting all facets of the development process; implementation of models and related logic in production systems; assessing outputs across different levels of inputs (sensitivity analysis and scenario analysis); back-testing and ongoing performance monitoring; and, communicating aspects of the model and its application to non-technical stakeholders.

Job Responsibilities:

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.

ADDITIONAL ACCOUNTABILITIES

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.

JOB REQUIREMENTS

Required Qualifications:

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.

Preferred Qualifications:

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).

Job Competencies:

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.

Flagstar is an Equal Opportunity Employer

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

Pay Range

$91,068.75 - $160,740.00

Qualified applicants with arrest or conviction records will be considered for employment in accordance with the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, and the San Francisco Fair Chance Ordinance, as appliable.