Top Fintech Jobs in Boston, MA

Handle inbound and warm insurance sales leads, consult customers on coverage, convert leads to policyholders, meet scheduled shifts, complete paid training and obtain Property & Casualty license, work remotely with required home-office and wired high-speed internet.

Lead and develop an underwriting team focused on sharing-economy and new mobility risks. Oversee risk selection, pricing, portfolio performance, broker relationships, and quality assurance. Mentor underwriters, manage complex accounts, and collaborate with actuarial, product, claims, and regulatory partners to drive profitable growth and compliance.

Lead end-to-end KYC periodic reviews for higher-risk corporate customers, perform enhanced due diligence, document findings, escalate red flags, collaborate with internal teams, and monitor industry money laundering and fraud trends.

Provide strategic legal support for the Arc blockchain, advising on design, regulatory compliance, and risk management while collaborating with cross-functional teams.

The Mid-Market Account Executive will manage the full sales cycle, close deals, build client relationships, forecast revenue, and collaborate with various teams.

Lead Data Scientist responsible for guiding projects, mentoring a team, developing data-driven solutions, and collaborating across departments to drive insights.

Lead product manager driving FedNow adoption across OBO service providers, fintechs, corporates, and BaaS banks. Develop targeted value propositions, evaluate customer pain points and market fit, lead discovery and delivery with design and engineering, build business cases, and collaborate with risk, legal, operations, and marketing to prioritize roadmap and accelerate instant payments adoption.

The VP of Alternative Data Strategy drives sourcing, prioritisation, and implementation of alternative datasets, aligning data opportunities with investment strategies and governing data usage across teams.

Lead technical direction and deliver large-scale ML platform infrastructure including feature store, model serving, experimentation, and training pipelines. Drive architecture, mentor engineers, coordinate cross-team initiatives, resolve system-wide issues (latency, reliability, GPU utilization), and define safe ML deployment paths from registration through rollout, monitoring, and rollback.

The Senior Data Analyst will provide data analysis to drive strategic decisions, utilizing SQL and Python for insights and data visualization, engaging with cross-functional teams, and developing interactive dashboards.

The Manager of Performance Marketing will lead paid search and Google Ads, focusing on strategy, budget management, and data analysis to drive business impact.

Lead RevOps data modeling, ETL/DBT development on Snowflake, SQL-based analytics, and Tableau reporting. Optimize and maintain RevOps systems (Salesforce, Clari, Outreach, Gong/Chorus), ensure data quality, apply advanced analytics/AI concepts for forecasting, and partner cross-functionally to deliver actionable revenue insights.

Lead RevOps data modeling, ETL/DBT development, and dashboarding to ensure high-quality revenue data. Build Snowflake data marts, author complex SQL, create Tableau visualizations, apply AI/ML forecasting, and partner with Sales, Marketing, Finance, and IT to resolve data quality and reporting issues.

Lead design and scaling of GTM systems architecture, data strategy, AI-enabled workflows, and operational processes. Own HubSpot and GTM tech ecosystem, ensure data quality and integrations, automate workflows, and advise GTM leadership to improve efficiency across Sales, Marketing, Partnerships, and Customer Success.

Supervise the Experience Banking Team, providing daily leadership, coaching, workload prioritization, and client issue resolution. Develop and document processes, create training materials, run audits, generate performance metrics, and coordinate cross-department meetings to improve team performance and client experience.

The role involves leading AI research projects, building AI foundation models, collaborating with engineering teams, and mentoring applied scientists to enhance customer interactions through AI.

As a Lead AI Engineer at Capital One, you will design and develop AI systems, collaborate with cross-functional teams, and optimize AI solutions for performance and scalability.

The role involves developing AI foundation models, collaborating with cross-functional teams, and conducting applied research to enhance customer experiences using advanced AI techniques.