Corporate Director of Credit Analytics
Listed on 2026-02-02
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Finance & Banking
Risk Manager/Analyst, Financial Compliance, Corporate Finance
About The Role
Summary
The Director of Credit Analytics is a strategic leader responsible for shaping and executing the bank’s credit risk analytics framework. This role oversees the development of data-driven models, Allowance for Credit Loss (ACL) methodologies, and portfolio stress testing processes to support financial stability and regulatory compliance. The Director serves as a liaison with regulators, internal audit, and external review teams, ensuring transparency and accuracy in credit risk practices.
The position requires cross-functional collaboration with credit, lending, finance, compliance, and IT teams to support safe and profitable growth. The ideal candidate blends analytical rigor, business acumen, and leadership to guide the bank’s credit strategy in alignment with regional market dynamics and evolving regulatory expectations.
Location
This is a corporate position which may be located in an available bank division across our nine-state footprint in AZ, CO, , MT, NV, TX, UT, WA, or WY. to learn more about our bank divisions.
Compensation
The entry rate for this position is $ + /per year (calculated for Kalispell, MT). All compensation offers are analyzed individually and take into consideration multiple factors including but not limited to geographic location, years of experience, and educational background. WA Applicants ONLY: $ - $ per year.
Description- Lead the development and enhancement of credit risk models tailored to the bank’s regional market and customer base.
- Oversee the calculation, documentation, and governance of the ACL, ensuring compliance with CECL and regulatory expectations.
- Manage portfolio stress testing processes, including scenario design, execution, and reporting to senior management and regulators.
- Analyze loan portfolio performance and identify emerging risks across commercial, consumer, and real estate lending.
- Provide actionable insights to support underwriting, loan review, and strategic decision-making.
- Collaborate with IT and data teams to ensure data integrity and accessibility for credit analytics and reporting.
- Present findings and recommendations to executive leadership and business line oversight.
- Support strategic initiatives such as new product development, market expansion, and M&A due diligence.
- Maintain awareness of regional economic trends and their impact on credit quality.
- Mentor and develop a team of credit portfolio risk analysts and data professionals.
- Engage with bank regulators and support examinations by providing relevant credit analytics and documentation.
- Coordinate with internal audit and external review teams to ensure transparency, accuracy, and compliance in credit risk practices.
- Must comply with all company policies and procedures and all applicable laws and regulations, including but not limited to, the Bank Secrecy Act, the Patriot Act, and the Office of Foreign Assets Control.
- Must complete the assigned online training courses and achieve a passing score by due date.
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
EducationRequired/Preferred
Education Level
Required
Bachelor’s Degree in Finance, Economics, Statistics, or related field
Preferred
Master's Degree in Finance, Business, Economics, Statistics, or related field
ExperienceRequired/Preferred
Experience Level
Required
- 10+ years: A minimum of 10 years of experience in credit analytics or risk management within a regional banking environment.
- 3 years: A minimum of 3 years of experience working with CECL, ACL methodologies, and regulatory reporting requirements.
- 5 years: A minimum of 5 years of experience with portfolio stress testing and scenario analysis.
- 5 years:
Proficiency in data analysis tools (e.g., SQL, Python, SAS, Excel).
Advanced / Specialized Knowledge:
Familiarity with regional banking dynamics and customer segments. Would an equivalent combination of relevant education and work…
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