Corporate Financial Risk Analyst

About The Role

The Financial Risk Analyst I leverages quantitative expertise, financial acumen, and data governance skills to support key risk management functions across both Enterprise Risk Management (ERM) and Model Risk Management (MRM) and will report to the Financial Risk Manager. The position plays a role in enterprise-wide risk oversight by integrating data-driven insights, managing risk thresholds, and advising senior leadership on risk posture, emerging risks, and macroeconomic trends.

The individual in this role serves as the primary preparer and analyst of the Bank’s quarterly Risk Appetite Statement, Peer Bank Performance Reports, Department KRI/KPI Reports, Economic Indicator Report, and other critical risk analytics, driving strategic decision-making. This position also provides briefings and risk analyses to executive leadership, the Board, and risk oversight committees. The position also supports the associated governance and frameworks of the Bank’s enterprise risk reporting.

The Financial Risk Analyst I will also help with testing and documenting tools classified as non-models and help develop challenger models for model validations. A successful candidate will be driven by curiosity to explore and analyze various business lines and functions throughout the bank.

This is a Corporate position which may be located at an available bank division location across our nine-state footprint in AZ, CO, , MT, NV, TX, UT, WA, or WY. The entry rate for this position is $59,461.97 + / per year (calculated for Kalispell, MT).

WA Applicants ONLY:
Range $64,767.56 to $97,151.34 per year

• Conduct and/or facilitate comprehensive model validations and reviews according to guidelines based on SR 11-7 and FDIC-22-2017 to include an assessment of model usage, documentation, conceptual soundness, data integrity, control environment, and the software environment. Presents results and deliverables through formal reports and verbal presentations to model owners and senior management. Support the development, enhancement, and governance of the Bank’s suite of Enterprise Risk Management Reports, including the Board’s Risk Appetite Statement.
  
  Provide Executive and Board-level briefings and provide effective challenge to all levels of leadership to improve bank performance and limit bank risk.
• Provides effective challenge and second line of defense oversight over various business lines to ensure proper risk mitigation of activities undertaken by the first line of defense.
• Supports model risk management efforts by supporting efforts to identify, monitor, and test non-models. In addition, support will be provided to the model risk program by performing data testing or helping develop challenger models.
• 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.

• Education:
  
  Bachelor’s degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Engineering, or other quantitative disciplines.
• Experience:
  
  Minimum 1 year in financial services, such as banking, finance, insurance, or a related quantitative field.
• Knowledge of R, SAS, and advanced Excel.
• Analytical and quantitative skills – ability to handle, analyze, interpret, and utilize data to solve complex problems.
• Advanced experience with MS Excel, PowerPoint, Word and ability to create attractive and useful dashboard reports.
• Preferred:
  Experience with query/database and business intelligence tools such as Cognos, Tableau, Power BI, SQL, and data governance fundamentals.
• Preferred:
  Model development or validation experience.
• Preferred:
  Artificial Intelligence training.

Would an equivalent combination of relevant education and work experience be considered? Yes.

• A practical knowledge of statistical, quantitative, and data analysis tools and techniques used in risk management.
• Strong analytical skills and business orientation with proven ability to use data and…