Model Risk Management Analyst

Socket.dev

Fargo, ND • On-site

$100 - $125/hr

Other

Posted 2 days ago

New


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.

Responsibilities
  • Model Risk Management
    • Collaborate 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 Review
    • Lead/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 Standards
  • Know 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 Expectations
  • Bachelor’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 Abilities
  • Strong 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.
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Frequently asked questions

Q: What skills or qualities help someone succeed as a Risk Analyst?

A: To succeed as a Risk Analyst, key technical skills include proficiency in risk management frameworks (e.g., COSO, ISO 31000), data analysis and statistical modeling, and proficiency in tools like Excel, SQL, and risk management software. Soft skills such as strong communication, problem-solving, and analytical thinking abilities, as well as the ability to work collaboratively with stakeholders, are also essential. These strengths enable Risk Analysts to effectively identify, assess, and mitigate risks, ultimately supporting informed business decisions and driving career growth through increased responsibility and expertise.

Q: What is the career path for a Risk Analyst?

A: A Risk Analyst's typical career progression involves starting as a Junior Risk Analyst, where they identify and assess potential risks, and then advancing to a Risk Analyst role, where they develop and implement risk management strategies. As they gain experience, they can move into senior roles such as Senior Risk Analyst or Risk Manager, overseeing risk assessments and developing organizational risk policies. Key opportunities for skill development include certifications like FRM (Financial Risk Manager) or PRM (Professional Risk Manager), as well as developing expertise in areas like data analysis, modeling, and communication to enhance their career prospects.



Socket.dev job posting for a Model Risk Management Analyst in Fargo, ND with a salary of $86 to $125 Hourly, with a map of Fargo location.