Credit Model Developer

Location: On site in Birmingham AL; Charlotte NC

SUMMARY

Support the Credit Risk Models Team with the development testing implementation monitoring documentation and maintenance of all credit risk models. These models are used for a variety of activities including: CECL stress testing loss forecasting origination portfolio management and economic capital. 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.

The Credit Model Developer II can work independently most of the time and is familiar with some or all of the use cases.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Under the direction of senior members of the team this position is primarily expected to:

• Develop and apply mathematical or statistical theory and methods to collect organize interpret and summarize numerical data sets from multiple sources (including internal consumer mortgage and commercial loan systems external bank data (e.g. Call Reports) and economic forecasts) to develop credit risk models for CECL stress testing scorecards economic capital or other credit risk-related initiatives.
• Derive model assumptions that are well reasoned and supportable.
• Implement models in code in a transparent and easily maintainable way.
• 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 owner/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.
• Monitor the performance and calibration of existing models.

POSITIONS ADDITIONAL RESPONSIBILITIES:

• Work on various ad hoc quantitative modeling and programming assignments.

SUPERVISORY RESPONSIBILITIES

1. No supervisory responsibilities

QUALIFICATIONS

To perform this job successfully an individual must be able to perform each essential duty satisfactorily. Additionally the qualifications listed below are representative of the knowledge skills and/or abilities required in this position:

PhD or Masters degree in Statistics Econometrics Mathematics or related quantitative field. A Bachelors degree in a quantitative field with additional certifications or experience may be considered.

Minimum Experience:

• 3 years of model development or validation experience
• Must have advanced quantitative statistical modeling skills (Regression Time Series Survival Analysis Markov Chain etc.)
• PhD or masters degree in Statistics Econometrics Mathematics or related quantitative field. A bachelors degree in a quantitative field with additional certifications or experience may be considered.
• Experience with Python and SQL
• Strong analytical and critical thinking skills with high attention to detail and accuracy
• Excellent verbal written and interpersonal communication skills

Preferred Experience:

• 5 or more years of model development or validation experience particularly in credit risk or stress testing.
• Working knowledge of Python R SAS and SQL.
• Knowledge of Git-based machine learning operations practices in the cloud (MLOps)
• Working knowledge of Generally Accepted Accounting Principles (GAAP) Basel III Dodd-Frank Act Stress Testing CCAR and bank accounting/regulatory reporting requirements.
• Ability to clearly articulate in writing or orally ideas analytic insights and recommendations to both technical and non-technical audiences including an executive audience.
• 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).
• An ability to identify key problems conduct in-depth research and articulate well-reasoned solutions.

COMPUTER AND OFFICE EQUIPMENT SKILLS

• Knowledge of Python R SAS or SQL
• Proficiency in the use of Microsoft Office with advanced experience in Excel
• Familiarity with software version control systems such as Git

CERTIFICATES LICENSES REGISTRATIONS (Ex: CPA Series 6 or 7 license etc)

None required

About Us
First Horizon Corporation is a leading regional financial services company dedicated to helping our clients communities and associates unlock their full potential with capital and counsel. Headquartered in Memphis TN the banking subsidiary First Horizon Bank operates in 12 states across the southern U.S. The Company and its subsidiaries offer commercial private banking consumer small business wealth and trust management retail brokerage capital markets fixed income and mortgage banking services. First Horizon has been recognized as one of the nations best employers by Fortune and Forbes magazines and a Top 10 Most Reputable U.S. Bank. More information is available at .

Benefit Highlights
Medical with wellness incentives dental and vision
HSA with company match
Maternity and parental leave
Tuition reimbursement
Mentor program
401(k) with 6% match
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Required Experience:

IC