Stress Testing Manager

🕒 il y a 8 jours

🌵 Arizona, Colorado, +7 états de plus – Distant

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

💵 $92 000 - $120 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

👔 Manager

👻 Score fantôme 0%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Busey

Site WebLinkedInTous les Emplois

1001 - 5000 employés

🏦 Banque

💸 Finance

💰 €200 000 000 Post-IPO Equity - Busey en 2025-05

Banking • Finance

Busey est une banque régionale assurée par la FDIC, basée à Champaign, Illinois, qui propose des services bancaires de détail et commerciaux, ainsi que la gestion de patrimoine, le prêt hypothécaire, des services agricoles (fermes), des prêts SBA, et des produits de banque numérique et de paiement. L'entreprise met l'accent sur la banque communautaire, les activités caritatives, et offre une gamme de produits financiers pour les consommateurs et les entreprises, y compris des cartes de crédit, des services d'investissement, et la banque numérique commerciale.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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