Quantitative Risk Analyst II

Job not on LinkedIn

🔥 4 minutes ago

🌵 Arizona, Colorado, +5 more states – Remote

🌵 Arizona – Remote ⛰️ Colorado – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🌪️ Kansas – Remote 🏰 Missouri – Remote 🤠 Texas – Remote

💵 $71k - $92k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🎲 Risk

👻 Ghost score 0%

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Busey

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏦 Banking

💸 Finance

💰 $200M Post-IPO Equity - Busey on 2025-05

Banking • Finance

Busey is an FDIC-insured regional bank based in Champaign, Illinois that provides retail and commercial banking services along with wealth management, mortgage lending, agricultural (farm) services, SBA lending, and digital banking and payment products. The company emphasizes community banking, charitable activities, and offers a range of consumer and business financial products including credit cards, investment services, and commercial digital banking.

📋 Description

• 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

• 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

• 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