Top Fintech Jobs in Boston, MA

Leads a team of underwriters managing complex casualty risks in the sharing economy and new mobility sectors. Oversees risk selection, portfolio profitability, pricing, coverage analysis, broker relationships, quality audits, and regulatory documentation. Coaches and develops underwriting talent, guides decisions on high-impact accounts, drives innovation, and establishes strategies for profitable portfolio growth.

Designs and maintains scalable data pipelines, models, integrations, and ETL/ELT processes using cloud data technologies. Analyzes complex data, implements quality controls and automated testing, troubleshoots issues, documents data flows, and improves engineering processes. Collaborates with product owners, business stakeholders, data scientists, engineers, and architects in an agile environment while translating business needs into reliable technical data solutions.

Leads complex, multi-year technical integration programs, including application convergence, data migration, platform standardization, and cloud-scale transformation. Establishes program roadmaps, operating mechanisms, maturity models, and measurable outcomes across engineering teams. Drives architectural alignment, dependency sequencing, risk escalation, and tradeoffs among cost, speed, and resiliency. Serves as an executive-level influencer and helps mature the organization’s technical program management discipline.

Configures, tests, maintains, and troubleshoots Federal Reserve payment and settlement applications supporting financial institutions. Manages complex account and relationship changes, resolves connectivity and file-format issues, responds to cyber incidents, and coordinates with internal and external stakeholders. Provides customer consultation, staff coaching, training, project support, business continuity testing, documentation, and process improvements. May provide after-hours incident response and lead special assignments or workgroups.

Supports second-line oversight of liquidity and interest rate risk, including Treasury practice reviews, challenge assessments, risk monitoring, stress-testing reviews, limit exception escalation, governance reporting, and regulatory compliance evaluation. The role analyzes risk data, maintains assessment documentation, partners with Treasury and stakeholders across the three lines of defense, and contributes to enterprise risk management strategy.

Develop scalable test automation frameworks, QA tools, and intelligent testing systems using Playwright, C#, and JavaScript/TypeScript. Integrate automated testing into CI/CD pipelines, build end-to-end, integration, and performance solutions, and apply AI techniques to improve test generation and defect detection. Partner with engineering and QA teams, troubleshoot reliability issues, contribute to test strategy, and mentor colleagues on automation and modern testing practices.

Manage full-cycle, high-volume recruiting for R&D and/or G&A roles, including sourcing, application review, candidate engagement, hiring-manager partnership, pipeline development, inclusive hiring, and recruitment metrics. The role requires adapting strategies to changing business needs, navigating ambiguous hiring situations, and delivering a strong candidate and stakeholder experience.

Leads complex estate and wealth planning engagements for ultra-high-net-worth advisor relationships. Develops tax-aware strategies covering wealth transfer, business succession, charitable giving, liquidity events, and executive compensation. Serves as a subject-matter expert, supports business development, builds strategic partnerships, creates thought leadership content, and collaborates with portfolio design and wealth strategy specialists to improve UHNW client outcomes.

The job description is currently listed as TBD, so specific responsibilities and qualifications are not provided. Based on the title, this role likely focuses on architecting enterprise artificial intelligence solutions and guiding AI strategy across the organization.

Build and deliver production-grade agentic AI systems for wealth management, using Java and modern software engineering practices. Responsibilities include designing scalable architectures, developing and testing solutions, applying AI-assisted development tools, validating adaptive systems, participating in deployments and code reviews, troubleshooting root causes, and contributing to reusable engineering foundations. The role also requires collaboration in architecture discussions, continuous learning, and understanding business outcomes.

Supports Mastercard marketing and communications initiatives through content creation, storytelling, brand engagement, media relations, research, and performance analysis. Collaborates with internal teams and external partners to execute marketing strategies, identify opportunities, and improve campaign effectiveness. Uses AI tools and digital platforms to analyze trends and develop audience-focused communications. The 18-month Launch Program provides hands-on experience, structured learning, and mentorship for candidates pursuing marketing or communications careers.