Stress Testing Manager

Busey Bank; Denver (CO); On-site; USD 92,000 - 120,000; Full time

Benefits offered by this job

401(k) match

Profit sharing

Employee stock purchase plan

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability benefits

Wellness incentives

Job summary

Busey Bank seeks a Stress Testing Manager to lead the enterprise stress testing program across loan and deposit portfolios. The role partners with ERM, Credit, Treasury, and Data Analytics to ensure robust methodologies and governance, leveraging Moody's platforms and internally developed models.

You will translate macroeconomic conditions into portfolio impacts, run scenario analyses, and communicate findings to senior management. Strong quantitative skills and communication are essential.

Qualifications

• Bachelor's degree with quantitative focus required.
• Masters degree preferred for advanced roles.
• 5+ years of experience in quantitative risk analytics, stress testing, forecasting, model development, or portfolio analytics.
• Experience developing and implementing statistical or predictive models in banking or risk management.
• Advanced proficiency in Python and SQL.
• Strong knowledge of statistical modeling, econometrics, forecasting, and quantitative risk methodologies.
• Experience working with large datasets and communicating complex findings to senior leadership.
• Experience with Power BI, Tableau, or similar visualization tools.

Responsibilities

• Lead enterprise loan portfolio stress testing programs and governance.
• Utilize Moody's risk analytics platforms and other third-party solutions.
• Develop proprietary stress testing methodologies for specialized loan segments.
• Design and execute scenario and sensitivity analyses; project adverse scenarios.
• Translate macroeconomic assumptions into expected outcomes and losses.
• Identify emerging risks and communicate findings to management.
• Apply regression, time-series forecasting, ML, Monte Carlo, and scenario analytics.
• Perform data analysis and model development using Python, SQL, and other tools.
• Evaluate model performance via back-testing and validation.
• Maintain documentation and governance for models and data.

Skills

Python

SQL

Statistical modeling

Econometrics

Forecasting

Quantitative risk

Big data

Power BI

Tableau

Education

Bachelor's degree in Statistics, Mathematics, Finance, Economics, Data Science, Financial Engineering, Computer Science, or related quantitative discipline

Master's degree preferred

Tools

Moody's Analytics

Job description

Position Summary

The Stress Testing Manager serves as a subject matter expert for enterprise stress testing and quantitative risk modeling. This role is responsible for the development, implementation, execution, enhancement, and governance of stress testing models used to assess risk primarily across the loan and deposit portfolios, but also provides key support for capital and liquidity stress testing processes. The position will leverage both third-party solutions, including Moody's analytical platforms, and internally developed models to evaluate the impact of adverse economic conditions on portfolio performance and emerging risk exposures. Working within the Second Line of Defense (SLOD), the Stress Testing Manager provides independent challenge to assumptions, methodologies, and model outputs while supporting the Bank's Enterprise Risk Management framework. This individual will partner closely with Credit, Finance, Treasury, Model Risk Management, and Enterprise Risk Management teams to ensure stress testing practices remain robust, analytically sound, and aligned with strategic and regulatory expectations. This role requires a highly analytical and inquisitive professional with significant quantitative modeling experience, strong statistical expertise, and the ability to communicate complex analytical concepts to senior management.

Duties & Responsibilities

Stress Testing and Scenario Analytics

• Lead the execution, enhancement, and ongoing administration of enterprise loan portfolio stress testing programs.
• Utilize and maintain third-party stress testing solutions, including Moody's risk and portfolio analytics platforms.
• Develop and implement proprietary stress testing methodologies for specialized segments of the loan portfolio.
• Design and execute scenario analyses, sensitivity analyses, and adverse economic stress tests to evaluate portfolio vulnerabilities.
• Translate macroeconomic assumptions into expected portfolio performance outcomes, including credit quality deterioration, migration trends, and expected loss projections.
• Identify emerging portfolio risks and communicate key findings to management through meaningful analytics and reporting.
• Apply advanced quantitative techniques including regression analysis, time-series forecasting, machine learning methods, Monte Carlo simulation, and scenario analytics.
• Perform data analysis and model development using Python, SQL, and other analytical tools.
• Evaluate model performance through back-testing, benchmarking, sensitivity testing, and ongoing performance monitoring.
• Continuously enhance methodologies to improve predictive accuracy and analytical value.

Deposit and Liquidity Risk Analytics

• Assist in the development of stress testing methodologies for deposit portfolios and funding stability analysis.
• Support Enterprise Risk Management (ERM), Treasury, and Finance teams by providing analytical insight related to liquidity stress scenarios and deposit behavior under stressed conditions.
• Work with Financial Risk Management (FRM) to develop quantitative approaches to evaluate deposit concentration, attrition, runoff assumptions, and customer behavior across economic cycles.

Governance and Model Risk Management

• Maintain comprehensive model documentation, methodology documents, assumptions inventories, and supporting analytical materials.
• Support Model Risk Management activities by ensuring models adhere to established governance standards and validation requirements.
• Assist independent validation efforts through development of documentation, data support, model inventories, and performance monitoring results.
• Establish controls and monitoring processes designed to ensure model integrity, data quality, and analytical consistency.
• Maintain awareness of evolving regulatory guidance and industry best practices related to stress testing, model governance, and quantitative risk management.

Collaboration and Communication

• Partner with Enterprise Risk Management (ERM), Credit Administration, Treasury, Finance, and Data Analytics teams to support enterprise risk initiatives.
• Provide independent challenge and critical review of analytical assumptions, scenario design, and model results.
• Prepare reports and presentations for management and various committees and sub-committees.
• Communicate complex quantitative concepts and analytical findings to both technical and non-technical audiences

Education & Experience

Education:

• Required Bachelor's degree in Statistics, Mathematics, Finance, Economics, Data Science, Financial Engineering, Computer Science, or a closely related quantitative discipline. (Masters Degree Preferrred)

Required Qualifications

• 5+ years of experience in quantitative risk analytics, stress testing, forecasting, model development, or portfolio analytics.
• Experience developing and implementing statistical or predictive models in banking, financial services, consulting, or risk management.
• Advanced proficiency in Python and SQL.
• Strong knowledge of statistical modeling, econometrics, forecasting, and quantitative risk methodologies.
• Experience working with large datasets and communicating complex findings to senior leadership.
• Experience with Power BI, Tableau, or similar visualization tools.

Preferred Qualifications

• Experience with Moody's risk management, stress testing, or portfolio analytics solutions.
• Background in credit risk, commercial banking, or portfolio risk management.
• Experience supporting model validation, regulatory examinations, and audit activities.
• Knowledge of machine learning, cloud-based analytics platforms, and advanced quantitative techniques.
• Key Competencies
• Strong analytical and problem-solving abilities.
• Excellent communication and presentation skills.
• Ability to translate complex quantitative analysis into business recommendations.
• Proven ability to manage multiple priorities while maintaining strong governance and accuracy standards.

Every day, our associates live Busey's core values, doing better business, building stronger relationships and creating thriving communities-while delivering meaningful value to shareholders.

Compensation and Benefits

Salary offered is based on factors, including but not limited to, the job duties, required qualifications and relevant experience, and local market trends. The role may be eligible for bonus or incentives based on company and individual performance.

(Base Pay Range: $92,000 - 120,000/year)

Busey provides a competitive Total Rewards package in return for your time, talents, efforts and ultimately, results. Your personal and professional well-being-now and in the years to come-are important to us. Busey's Total Rewards include a competitive benefits package offering 401(k) match, profit sharing, employee stock purchase plan, paid time off, medical, dental, vision, company-paid life insurance and long-term disability, supplemental voluntary life insurance, short-term and long-term disability, wellness incentives and an employee assistance program. In addition, eligible associates may take advantage of pre-tax health savings accounts and flexible spending accounts. Visit Busey Total Rewards for more information.

Equal Opportunity

Busey values a diverse and inclusive workplace and strives to recruit, develop and retain individuals with exceptional talent. A team with diverse talent, working together, is essential to Busey's commitment of delivering extraordinary excellence. Busey is an Equal Opportunity Employer including Disability/Vets. Visit Busey.com/Careers to learn more about Busey's Equal Opportunity Employment.