Top Credit Analyst Jobs in Chicago, IL

Analyze credit policy, approval rates, vintage performance, and portfolio metrics to inform credit strategy. Monitor model/scorecard performance, run tradeoff and scenario analyses, support pricing/term decisions, and produce recurring portfolio reporting and dashboards. Collaborate with collections, fraud, finance, and tech on reporting, model validation, and decisioning platform improvements.

Review and underwrite indirect auto loan and lease applications within guidelines, communicate with credit unions and dealers, collect documentation, process and send loan packages for funding, monitor dealer productivity, support fraud detection and process improvements, and maintain SLAs across varied hours (7:00am–9:00pm MST).

Lead portfolio analytics and monitoring for small and medium business lending using SQL, SAS, and Python. Produce recurring and ad hoc reports, deliver data-driven recommendations to influence credit policy and strategy, and present findings to stakeholders. Manage analytics projects end-to-end while improving reporting processes and supporting risk governance.

Review and analyze borrower and guarantor financials, test covenant compliance, complete post-closing loan reviews, prepare ad hoc reports, support credit administration projects, mentor junior analysts, and maintain confidentiality and policy compliance.

The Senior Credit Analyst gathers and analyzes credit information on borrowers, assists in loan assessments, and manages loan portfolios while mitigating risks.

Design, implement, and manage partner and end-customer financing solutions across North America. Interface with commercial teams, financial institutions, and corporate finance to structure deals, present financing scenarios, manage program lifecycle, monitor portfolio risk and performance, ensure compliance, and support sales through training and commercial negotiations to drive partner growth and revenue.

Lead loss mitigation, predictive collections, and loss forecasting (CECL) for consumer lending. Build data models and contact strategies, align conversational operations, manage credit loss budgets, vendor selection, and present risk insights to executive stakeholders.

Lead design and execution of loss mitigation, predictive collections, and CECL loss forecasting. Build data models and contact strategies, align conversational operations, manage credit loss budgeting, and evaluate third-party vendors to maximize recoveries and protect the balance sheet.

Design and own loss mitigation, predictive collections, and CECL loss forecasting. Partner with Operations to implement conversational contact strategies (WhatsApp/SMS), build propensity-to-pay and recovery models, manage credit loss budgeting and capacity planning, and evaluate/onboard third-party collections vendors and software to protect capital and optimize recoveries.

Lead loss mitigation, forecasting, and collections strategy for consumer lending. Build CECL-based loss forecasts, predictive propensity-to-pay models, automated contact strategies (WhatsApp/omnichannel), manage credit loss budgets, and evaluate third-party recovery vendors while presenting impacts to executive leadership.

Develop and test credit and fraud strategies using data, machine learning, and advanced analytics. Design A/B tests, analyze portfolio performance, identify trends, and partner with Data Science, Product, and Engineering to implement and validate risk decisions. Communicate findings and conduct ad-hoc analyses to optimize marketplace credit outcomes.

Lead credit analytics for the Send Now Pay Later product: build and own valuation and vintage models, manage credit policies, monitor portfolio health and NPL trends, integrate ML scorecards, and evaluate alternative data to optimize approvals and loss performance.

Lead credit analytics for the Send Now Pay Later product: build and maintain credit policies, valuation and NPV models, vintage analysis, executive reporting, model integration and testing, and alternative data integration to optimize approval rates and portfolio health.

Lead credit analytics for the Send Now Pay Later product: build and maintain credit policies, valuation and NPV models, vintage analysis, portfolio surveillance, executive reporting, model integration/testing, and alternative data exploration to optimize approval rates and manage portfolio risk.

Lead credit analytics for the Send Now Pay Later product: own portfolio health reporting, NPL trends, valuation and NPV models, vintage analysis, credit policy design, monitoring, model integration and testing, and alternative data exploration to optimize approval rates and loss performance.