Model Risk Management Analyst

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Bell Bank is looking for a Model Risk Management Analyst to join the onsite team in Bloomington, MN. You will execute model validation and monitoring across the bank’s models, performing end-to-end testing, documentation and risk assessment in line with MRM standards and regulatory guidance, communicating findings clearly to model owners. The role requires 2–4 years in risk management or analytics and a bachelor’s degree in analytics, finance, economics, statistics, or related fields, with experience in banking products and forecasting or capital planning preferred. To stand out, tailor your resume to show end-to-end validation, strong documentation, governance adherence, and the ability to translate complex results for nontechnical audiences, plus a track record of independent work.

The Model Risk Management Analyst executes model validation and ongoing monitoring activities across the bank’s model inventory. This role performs end‑to‑end review work — including testing, documentation, and risk assessment — following established Model Risk Management (MRM) standards and regulatory guidance. This role is expected to complete assignments with minimal supervision, communicate findings clearly, and ensure models remain compliant, well‑documented, and are performing as intended.

Responsibilities

Model Risk Management

• Ensure key details (assumptions, inputs, purpose, limitations) are clearly recorded in model documentation.
• Perform routine model monitoring by updating performance metrics, reviewing basic trends, and documenting breaches for review by the broader MRM team.
• Keep the model inventory up to date by ensuring assigned models have correct attributes (status, owner, risk tier, review dates).
• Communicate with model owners to gather needed documentation or clarify how a model is used.
• Follow established model governance standards and procedures to help ensure models meet internal and regulatory expectations.

Model Validation & Review

• Conduct basic testing such as comparing model results to benchmark values or reviewing historical performance trends.
• Identify and document any issues you notice related to data quality, assumptions, or results, and escalate to senior staff.
• Prepare clear and organized sections of validation reports that describe what was reviewed and what was found using existing report templates.
• Share findings with model owners and help answer follow‑up questions within your area of work.
• Re‑test corrected items or updated model components to confirm previously identified issues have been resolved.

Bell Bank Culture, Policy and Accountability Standards:

• Know by name and face as many customers and employees as possible, calling them by name as often as possible.
• Know and practice LOCBUTN, our Golden Rules, and Bell Bank Customer Service Standards.
• Know, understand, and live the company values and bottom line.
• Conduct activities consistent with established Bell Bank policies, procedures and systems, the Bell Bank Employee Conduct policies, the Bank Secrecy Act and all applicable state and federal laws and regulations.
• All employees are responsible for information security, including compliance with policies and standards which protect sensitive information.
• Prompt and reliable attendance.
• Perform other duties as assigned.

Education, Experience, and Other Expectations

• Bachelor’s degree in business analytics, finance, economics, statistics, or other similar field; or equivalent experience required.
• 2 – 4 years of experience in risk management, compliance, data analytics, risk analytics, or related roles.
• Experience with banking products, credit processes, liquidity management, stress testing, forecasting models, and/or capital planning frameworks is preferred.
• Experience with statistical and data analysis tools.

Skills and Knowledge

• Analytical and quantitative skills with the ability to evaluate complex models, data flows, and methodologies.
• Ability to interpret and apply regulatory requirements related to model risk.
• Written and verbal communication skills, including the ability to translate technical concepts for non‑technical audiences.
• High attention to detail, organizational skills, and the ability to manage multiple tasks and deadlines.
• Comfortable managing multiple tasks and deadlines independently.