Top Risk Analyst Jobs in NYC, NY

Manage market risk for the commodity derivatives trading desk: monitor, measure, analyze and report daily market risk; ensure controls and data quality; advise front office; support regulatory requests, audits and model validations; participate in projects (FRTB, market data, system upgrades) and coordinate with data and support teams.

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.

Owner of fraud and transaction risk detection for digital asset payments. Build monitoring, investigate flagged transactions, file SARs, design risk models and ML-driven detection, ensure AML/KYC compliance, and advise on product launch risk.

Partner with portfolio managers to maintain and enhance portfolio and risk analytics, build and validate data pipelines, develop production-quality Python/SQL analytics and automation, support simulation/backtesting for strategic asset allocation, integrate AI-enabled capabilities responsibly, and deliver reproducible reporting and documentation.

Monitor Equity Long/Short portfolio exposures, run stress tests, track risk metrics, and support position oversight (concentration, leverage, liquidity, correlation). Produce regular and ad hoc risk reports, partner on model validation and enhancements, ensure adherence to risk limits, and liaise with portfolio managers.

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.

Responsible for monitoring liquidity risks, conducting stress testing, and ensuring compliance with regulatory requirements. Analyzes liquidity risk data and enhances reporting.

The Operational Risk and Control Analyst identifies, escalates, and mitigates operational risks, conducts assessments, prepares reports, and supports risk management programs.

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.

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 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.

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.

Underwrite and price debt-portfolio acquisitions, build loan- and cohort-level cashflow forecasts, track portfolio performance vs. underwritten IRR/MOIC, diagnose return shortfalls, and establish underwriting standards, monitoring, and reporting to guide capital allocation decisions.

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.

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.