Top Risk Analyst Jobs in Austin, TX

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.

Lead risk data governance, insurance renewal readiness, exposure tracking, and reporting. Collect, validate, reconcile, and report insurance and exposure data; build dashboards and analytics; coordinate renewals with brokers, carriers, finance, operations, and legal to inform underwriting and leadership decisions.

Own risk and insurance data governance, renewal coordination, exposure tracking, and reporting. Develop standardized renewal workflows, validate and reconcile risk data, and produce dashboards and executive reports to inform underwriting, financials, and operational risk decisions.

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.

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 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.

Support fintech partner risk management across the Bank's BaaS portfolio: perform due diligence and risk assessments, monitor post-onboarding compliance, test controls, track remediation, liaise with internal teams and partners on financial-crimes and regulatory compliance, and maintain risk remediation roadmaps and reporting.

Supports the bank's Operational Risk Management program by performing risk assessments, identifying control gaps, monitoring internal controls and loss events, maintaining the GRC platform, drafting policies, preparing reports for management, and coordinating with business lines, ERM, IT, Compliance, and Audit.