Top Risk Analyst Jobs in Boston, MA

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.

Provide expert risk analysis, reporting, QA and oversight for enterprise non-financial risk programs. Support eGRC/ServiceNow issues management, perform data analysis, engage stakeholders, recommend mitigations, lead process improvements, and support risk reporting and escalation across lines of business.

Provide analytical support and build advanced investment risk analytics and reporting. Monitor risk reporting architecture, produce performance and risk commentary, support new strategy on-boarding, lead special research projects, and collaborate with investment franchises and firm functions to enhance data, visualizations, and model setups.

The Portfolio Risk Analyst will identify, measure, and mitigate various risks, develop risk frameworks, report on economic capital, and oversee structured products and risk functions.

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.

Front-office investment risk analyst who maintains and enhances risk models, produces market risk and liquidity reports (VaR, tracking error, stress tests, factor exposures), performs risk attribution and portfolio diagnostics, partners with Portfolio Managers and cross-functional teams, and presents insights to senior stakeholders to inform pre- and post-trade 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.

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.

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.

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.

Perform performance measurement, attribution, and risk analysis across funds and asset classes; produce recurring and custom reports; investigate data issues; automate reporting; partner with portfolio managers to explain performance and drive process improvements.

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.