Stress Testing Manager

This is a fully remote position, open to applicants in Arizona, +8 more states.

📋 Description

• Oversee the implementation, enhancement, and continuous management of enterprise loan portfolio stress testing initiatives.

• Utilize and maintain third-party stress testing solutions, such as Moody's risk and portfolio analytics platforms.

• Create and execute proprietary stress testing methodologies tailored for specific loan portfolio segments.

• Design and conduct scenario analyses, sensitivity analyses, and tests under adverse economic conditions.

• Convert macroeconomic assumptions into portfolio performance outcomes, including credit quality deterioration, migration trends, and expected loss projections.

• Identify emerging risks within the portfolio and convey findings to management through analytics and reporting.

• Employ regression analysis, time-series forecasting, machine learning techniques, Monte Carlo simulation, and scenario analytics.

• Conduct data analysis and model development utilizing Python, SQL, and other analytical tools.

• Assess model performance through back-testing, benchmarking, sensitivity testing, and ongoing performance monitoring.

• Refine methodologies to enhance predictive accuracy and analytical value.

• Assist in stress testing of the deposit portfolio and analysis of funding stability.

• Provide analytical insights for liquidity stress scenarios and deposit behavior during stressed conditions.

• Develop quantitative strategies to assess deposit concentration, attrition, runoff assumptions, and customer behavior across different economic cycles.

• Maintain comprehensive model documentation, methodology documents, assumptions inventories, and supporting analytical materials.

• Support Model Risk Management activities, independent validation efforts, and model governance requirements.

• Establish controls and monitoring procedures to ensure model integrity, data quality, and analytical consistency.

• Stay informed about regulatory guidance and industry best practices.

• Collaborate with Enterprise Risk Management, Credit Administration, Treasury, Finance, Data Analytics, and other departments.

• Provide independent challenges and critical evaluations of assumptions, scenario design, and model outcomes.

• Prepare reports and presentations for management and committees.

• Effectively communicate complex quantitative concepts and analytical findings to both technical and non-technical audiences.

⛳️ Requirements

• A Bachelor's degree in Statistics, Mathematics, Finance, Economics, Data Science, Financial Engineering, Computer Science, or a closely related quantitative field is required.

• More than 5 years of experience in quantitative risk analytics, stress testing, forecasting, model development, or portfolio analytics.

• Proven experience in developing and implementing statistical or predictive models in banking, financial services, consulting, or risk management.

• Advanced skills in Python and SQL are essential.

• In-depth knowledge of statistical modeling, econometrics, forecasting, and quantitative risk methodologies.

• Experience managing large datasets and conveying complex findings to senior leadership.

• Proficiency in Power BI, Tableau, or similar data visualization tools.

• Familiarity with Moody's risk management, stress testing, or portfolio analytics solutions.

• A background in credit risk, commercial banking, or portfolio risk management is preferred.

• Experience in supporting model validation, regulatory examinations, and audit processes.

• Knowledge of machine learning, cloud-based analytics platforms, and advanced quantitative methods.

• Strong analytical and problem-solving skills.

• Excellent communication and presentation abilities.

• Capability to translate complex quantitative analyses into actionable business recommendations.

• Demonstrated ability to manage multiple priorities while upholding strong governance and accuracy standards.

🏝️ Benefits

• Bonus or incentives based on both company and individual performance.

• 401(k) matching program.

• Profit sharing opportunities.

• Employee stock purchase plan.

• Paid time off.

• Comprehensive medical insurance.

• Dental insurance coverage.

• Vision insurance benefits.

• Company-paid life insurance.

• Long-term disability insurance.

• Supplemental voluntary life insurance options.

• Short-term disability coverage.

• Wellness incentives.

• Employee assistance program.

• Pre-tax health savings accounts.

• Flexible spending accounts.