Top Risk Analyst Jobs in Boston, MA

Identify and assess financial crime risks, conduct data-driven reviews and monitoring, redesign and scale compliance processes, advise stakeholders, ensure regulatory and partner requirements are met, and recommend process and policy improvements to mitigate emerging risks.

Lead and conduct advanced risk monitoring of member firms, analyze regulatory and market developments, provide strategic recommendations, mentor junior staff, coordinate cross-functional assessments, and lead projects and technology initiatives to strengthen FINRAs risk surveillance and regulatory responses.

Evaluate merchant creditworthiness and transaction risk, monitor anomalies, manage chargebacks and disputes, conduct risk reviews for account updates and volume increases, support PCI and regulatory compliance, develop detection rules and playbooks, and collaborate cross-functionally to reduce fraud and financial exposure.

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.

Support development and administration of global corporate insurance and risk management programs. Manage insurance renewals, multi-line claims (reporting, development, settlements), procure insurance and surety bonds, coordinate service providers, assess reserves, generate loss histories, support risk-reduction policies and audits, and assist the Director of Risk Management on strategic initiatives and special projects.

Assist senior risk managers in measuring, monitoring, and analyzing investment risk; communicate findings and improve risk reporting solutions.

Maintain and enhance front-office investment risk models, monitor portfolio exposures and perform stress testing. Partner with portfolio managers for risk attribution and pre/post-trade analysis. Build automated reporting pipelines and Snowflake data models using Python and SQL, contribute to AI-assisted risk analytics, and prototype ML applications for factor modeling and anomaly detection.

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.

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

Lead loss mitigation, build predictive collections models and CECL loss forecasts, design automated conversational recovery strategies, manage credit loss budgeting and vendor selection, and present findings to executive leadership.

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

Design and own loss mitigation and loss-forecasting frameworks (CECL), build predictive collections models and automated contact strategies (WhatsApp/SMS/omnichannel), align with Operations for recovery execution, manage credit loss budgeting and capacity planning, and lead vendor evaluation and onboarding to maximize recovery ROI.

Lead loss mitigation, forecasting, and collections strategy for consumer lending. Build predictive collections models and CECL-based loss forecasts, align conversational operations, manage credit loss budgeting and vendor procurement, and present results to executive stakeholders.

Lead credit analytics for the Send Now Pay Later product: build and optimize valuation, vintage and NPV models; manage credit policies, portfolio monitoring, and NPL reporting; integrate and test scoring models with engineering/data science; and research alternative data to improve predictive performance.

Lead credit analytics for the Send Now Pay Later product: deliver executive portfolio health reporting, NPL trend analysis, and financial/vintage/NPV modeling. Design end-to-end credit frameworks and acquisition/customer management policies, monitor cohort performance, integrate and test ML scorecards with engineering, and evaluate alternative data sources to optimize approval rates and limit defaults.

Lead quantitative credit analytics for a Send Now Pay Later (SNPL) product: build and maintain credit policies, pricing and NPV models, vintage analysis, portfolio monitoring, model integration/testing, and alternative data evaluation to optimize approval rates and manage portfolio health.

Perform and manage QC audits to assess compliance with HUD, state, and federal requirements for reverse and conventional mortgage products. Maintain and update QC checklists, ensure findings are addressed in the LOS, communicate results, meet review timelines, assist leadership with audit process improvements, and ensure fair lending and net benefit compliance.

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.