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Bell Bank

Model Risk Management Analyst

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Based on North Dakota data

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What they do

A Risk Manager evaluates risk and recommends and manages strategies to mitigate or offset risks that could result in financial losses for a company or organization. Analyzes current risks and assesses potential new risks. Reviews contracts and insurance policies; prepares risk budgets. Communicates risk policies and procedures to staff at all levels of a company.

$109,453 / year median in North Dakota

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Job Description

This position is responsible for performing comprehensive assessments, validations, and ongoing monitoring of models used across the bank. This role ensures that models are conceptually sound, methodologically robust, and compliant with the bank's Model Risk Management (MRM) framework, regulatory expectations, and industry best practices. The analyst partners closely with model developers, business owners, and risk stakeholders to challenge model design, evaluate performance, and verify alignment with evolving business and regulatory requirements.

ResponsibilitiesModel Risk ManagementCollaborate with stakeholders, including model developers and business owners, to ensure models adhere to best practices, governance standards, and regulatory requirements.

Lead/participate in the ongoing monitoring and maintenance of models, ensuring they remain current and relevant to evolving business needs.

Identify, assess, and communicate model-related risks, proposing mitigation strategies where needed.

Maintain accurate and up‑to‑date model documentation and ensure transparency in model assumptions, limitations, and use cases.

Model Validation and ReviewLead/participate in the validation process for various models used in risk management, pricing, liquidity, credit underwriting, stress testing, and other critical areas.

Evaluate model assumptions, methodologies, and data sources to ensure compliance with internal policies and regulatory standards.

Assesses model risk through pre-implementation validations, periodic validations and monitoring activities that independently challenge conceptual design/methodology, reference data, processes, and performance.

Stay updated on regulatory changes related to model risk management and ensure the bank's practices remain in compliance with applicable laws and guidelines.

Foster a collaborative and innovative work environment, promoting continuous learning and professional growth.

Bell Bank Culture, Policy and Accountability StandardsKnow and live Bell Bank's values, bottom line, customer service standards, Golden Rules, and LOCBUTN by building personal connections with customers and employees and using their names as often as possible.

Conduct activities consistent with established Bell Bank policies, procedures and systems, the Code of Conduct, 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 ExpectationsBachelor's Degree in business analytics, finance, economics, statistics, or other similar field; or equivalent experience. 4-6 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 preferred. Experience with statistical and data analysis tools. Knowledge, Skills, and AbilitiesStrong analytical and quantitative skills with the ability to evaluate complex models, data flows, and methodologies. Proficiency with statistical and data analysis tools. Understanding of model development concepts such as regression, machine learning, time series analysis, forecasting, and validation techniques. Ability to interpret and apply regulatory requirements related to model risk. Strong critical thinking and problem-solving abilities; comfort challenging assumptions and identifying risks. Excellent 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.