Quantitative Risk Analyst II

Busey

. Develop, maintain, and enhance recurring risk reporting packages, dashboards, and analytical tools .

Posted 10/16/2026full-timeRemote • United StatesMid-LevelSenior💰 $71,000 - $92,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantitative analysis, risk reporting, and financial modeling, utilizing tools such as Python and SQL to enhance decision-making processes. Proficient in developing dashboards and visualizations to communicate complex data insights effectively to stakeholders.

Highest-signal resume keywords

Quantitative AnalysisRisk ReportingPython ProgrammingSQL ProgrammingData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative AnalysisFinancial Statement AnalysisStatistical TechniquesEconometric TechniquesForecasting TechniquesData Analysis TechniquesAutomated ReportingAnalytical Tools DevelopmentRisk Reporting ProcessesDeposit Analytics

Soft Skills

Communication SkillsCollaboration

Tools & Technologies

Microsoft ExcelPower BITableauMoody's AnalyticsBusiness Intelligence PlatformsAI-Assisted Development Tools

Industry Keywords

Market RiskLiquidity RiskTreasuryFinancial ServicesPortfolio AnalyticsBanking IndustryBalance Sheet Risk ManagementFunding Risk Assessments

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Develop, maintain, and enhance recurring risk reporting packages, dashboards, and analytical tools
Produce analysis and reporting related to market risk, liquidity risk, credit risk, capital risk, and emerging enterprise risks
Monitor and report key risk indicators, early warning indicators, and concentration measures
Design and maintain executive-level reporting and visualizations for management
Identify trends, anomalies, and emerging risks using internal and external data
Perform quantitative analysis of interest rate risk and balance sheet composition and trends
Support analytical frameworks assessing the effects of economic and market conditions on earnings, capital, and liquidity
Research macroeconomic, industry, and financial market trends and their implications for the Bank’s risk profile
Assist with deposit behavior models, attrition analyses, deposit segmentation, and funding stability assessments
Analyze uninsured deposits, deposit concentration, customer behavior, pricing sensitivity, and liquidity risk indicators
Report on funding sources, liquidity trends, and balance sheet stability
Collaborate with Treasury and Finance on liquidity stress assumptions and customer behavior
Support development, testing, implementation, monitoring, and enhancement of quantitative risk models
Apply statistical, econometric, forecasting, and data analysis techniques
Use Python, SQL, and other analytical tools for automation, scenario analysis, forecasting, and decision-support tools
Support enterprise stress testing through data preparation, scenario analysis, forecasting, model execution, and reporting
Prepare analytical materials for loan portfolio, liquidity, and capital stress testing
Research economic trends and scenario drivers for stress testing
Provide quantitative support for management review and interpretation of stress testing results
Identify automation and process redesign opportunities to improve efficiency, accuracy, scalability, and data integrity
Use artificial intelligence, machine learning, advanced analytics, and business intelligence platforms
Participate in special projects supporting risk management framework enhancements

Requirements

What you’ll need

Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Financial Engineering, Data Science or a closely related field
3-5 years of experience in banking, financial services, treasury, finance, risk management, portfolio analytics, quantitative analytics, or related disciplines
Intermediate to advanced Microsoft Excel skills
Experience with Power BI, Tableau, or similar business intelligence/data visualization platforms
Strong knowledge of financial statement analysis
Experience performing quantitative analysis using large and complex datasets
Experience developing automated reporting, analytical tools, dashboards, or risk reporting processes
Experience using Python, SQL, or similar analytical programming languages
Experience communicating analytical findings to technical and non-technical stakeholders
Preferred: banking industry experience involving market risk, liquidity risk, treasury, ALM, or portfolio analytics
Preferred: experience supporting deposit analytics, balance sheet risk management, or funding risk assessments
Preferred: experience utilizing Moody's analytical solutions (Moody’s Analytics, EFX, CMM)
Preferred: experience applying statistical, econometric, forecasting, or machine learning techniques
AI-assisted development and workflow automation tools

Benefits

Comp & perks

Bonus or incentives based on company and individual performance may be available
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 insurance
Supplemental voluntary life insurance
Short-term disability insurance
Wellness incentives
Employee assistance program
Pre-tax health savings accounts
Flexible spending accounts