Stress Testing Manager

Busey

. Lead the execution, enhancement, and ongoing administration of enterprise loan portfolio stress testing programs .

Posted 10/16/2026full-timeRemote • United StatesMid-LevelSenior💰 $92,000 - $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in quantitative risk analytics, stress testing methodologies, and model development using Python and SQL. Capable of translating complex quantitative findings into actionable business insights while ensuring compliance with regulatory standards.

Highest-signal resume keywords

Quantitative Risk AnalyticsStress Testing MethodologiesPython ProgrammingSQL ProficiencyStatistical Modeling

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Statistical ModelingEconometricsForecastingMachine LearningRegression AnalysisTime-Series ForecastingMonte Carlo SimulationData AnalysisModel DevelopmentScenario Analysis

Soft Skills

Analytical Problem-SolvingCommunication SkillsPresentation SkillsCritical ThinkingCollaboration

Tools & Technologies

Moody's Risk ManagementPower BITableauCloud-Based Analytics PlatformsPortfolio Analytics Solutions

Industry Keywords

Credit RiskCommercial BankingPortfolio Risk ManagementModel ValidationRegulatory Compliance

Tech Stack

Tools & technologies

CloudPythonSQLTableau

About the role

Key responsibilities & impact

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 loan portfolio segments
Design and execute scenario analyses, sensitivity analyses, and adverse economic stress tests
Translate macroeconomic assumptions into portfolio performance outcomes, including credit quality deterioration, migration trends, and expected loss projections
Identify emerging portfolio risks and communicate findings to management through analytics and reporting
Apply 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
Enhance methodologies to improve predictive accuracy and analytical value
Assist with deposit portfolio stress testing and funding stability analysis
Provide analytical insight for liquidity stress scenarios and deposit behavior under stressed conditions
Develop quantitative approaches to evaluate deposit concentration, attrition, runoff assumptions, and customer behavior across economic cycles
Maintain 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 processes for model integrity, data quality, and analytical consistency
Maintain awareness of regulatory guidance and industry best practices
Partner with Enterprise Risk Management, Credit Administration, Treasury, Finance, Data Analytics, and other teams
Provide independent challenge and critical review of assumptions, scenario design, and model results
Prepare reports and presentations for management and committees
Communicate complex quantitative concepts and analytical findings to technical and non-technical audiences

Requirements

What you’ll need

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

Benefits

Comp & perks

Bonus or incentives based on company and individual performance
401(k) match
Profit sharing
Employee stock purchase plan
Paid time off
Medical insurance
Dental insurance
Vision insurance
Company-paid life insurance
Long-term disability
Supplemental voluntary life insurance
Short-term disability
Wellness incentives
Employee assistance program
Pre-tax health savings accounts
Flexible spending accounts