Top Risk Analyst Jobs in Chicago, IL

Develop and validate quantitative models supporting loan loss forecasting and allowance for credit losses. Partner with business and model risk teams to enhance analytical frameworks, apply statistical and machine learning methods, automate processes, and build cloud-based data solutions. Analyze large datasets, communicate modeling and validation results, and produce transparent technical documentation and reports for diverse audiences.

Evaluate and underwrite credit for SME and enterprise financial products, monitor portfolio performance, and develop scalable credit risk frameworks. Collaborate with Commercial, Product, and Compliance teams to design data-driven underwriting and monitoring processes, identify AI-driven automation opportunities, and establish governance for automated decisions while ensuring alignment with risk appetite and regulatory expectations.

Assess and manage financial risk (chargebacks) for enterprise merchants, improve risk management framework, lead cross-functional projects, advise credit risk committee, and collaborate with Product, Legal, and Commercial teams.

Own diligence and underwriting for institutional counterparties, recommend internal credit ratings and risk-based limits, monitor portfolio exposures, analyze asset volatility/liquidity for limit-setting, negotiate industry documentation, and collaborate with cross-functional teams to resolve complex client or product issues.

This role involves leading analytical projects to assess credit risk across various loan portfolios, developing frameworks for loan origination and loss forecasting, and collaborating with stakeholders to improve underwriting processes.

Leads enterprise risk assessments, develops risk models and mitigation strategies, maintains risk policies and frameworks, and reports risk profiles to leadership. Manages insurance policies, claims, compliance, controls, and risk-related training. Collaborates cross-functionally to identify control gaps, implement remediation plans, monitor risks, and promote organizational risk awareness.

Supports first-line business risk management through transaction appropriateness reviews, exception tracking, KRI reporting, risk analytics, control documentation, MPF oversight, audit support, and cross-functional follow-up. Maintains risk records and dashboards, analyzes exposures and trends, escalates breaches and concerns, and helps improve risk processes. Requires strong attention to detail, analytical and documentation skills, Excel proficiency, and familiarity with risk frameworks and three-lines-of-defense principles.

Support and advance the Operational Risk Management program with focus on Vendor Risk Management and Business Continuity. Develop and implement VRM/BCM initiatives, manage vendor repository and automation, deliver reporting and training, identify and track operational risks, liaise with vendors, and ensure regulatory compliance and control improvements.

This role focuses on enterprise risk management, capital strategy, and strategic growth by partnering with actuarial and finance teams to support data-informed decisions.

Support enterprise operational risk activities including RCSAs, control validation and testing, findings management, business continuity planning, risk reporting and analytics, loss event data collection, risk technology (Archer) administration, stakeholder partnership, and special projects to strengthen risk management and resilience.

Develop and validate in-house margin models for single-name and index CDS, calibrate shocks using historical time series, prototype and test implementations, perform daily benchmarking/backtesting vs VaR and P/L, and support model documentation and Model Risk Management actions.

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.

Lead AI risk assessments, reviews, and monitoring to support AI governance at a financial institution. Evaluate internal and third-party AI solutions, maintain an enterprise AI inventory, analyze controls and risk metrics, build dashboards and reports, and provide quantitative and advisory support across stakeholders to enable responsible AI adoption and regulatory readiness.

Support execution and maintenance of the enterprise risk management program. Lead ERM projects, maintain enterprise risk scorecards, develop annual risk assessment and appetite, design and report KRIs, coordinate RCSAs and GRC updates, produce risk reports and presentations, and record/manage risk data in the GRC system for committee reporting.

Perform customer due diligence and regulatory verification for client onboarding. Review onboarding packages, perform identity and sanctions screening, validate ownership and licenses, complete Payment Network checks, maintain client files, document exceptions, support Senior Compliance Managers, and improve SOPs to ensure compliant onboarding.

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.

Lead and execute compliance testing for BSA/AML/OFAC and consumer regulations, evaluate controls, document findings, and support remediation. Support and monitor the third-party risk management program, conduct vendor risk assessments and onboarding checks, produce leadership reports and dashboards, and help configure the GRC platform. Serve as SCRA and OFAC subject matter expert and track regulatory changes.

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: 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.