Top Fintech Jobs in Boston, MA

Provides virtual wealth-management advice to mass-affluent clients through phone and video consultations. Analyzes client finances, recommends investment strategies and insurance products, develops client relationships, grows assets under management, acquires and retains clients, achieves sales goals, and maintains regulatory and company compliance while partnering with branch personnel.

Provides virtual wealth advisory services to mass-affluent clients by assessing financial needs, recommending investment and insurance products, acquiring and retaining clients, growing assets, developing branch relationships, and meeting sales goals. The role delivers personalized strategies through phone and video while maintaining regulatory and organizational compliance.

Lead a sourcing team to develop and execute multi-year category strategies for enterprise IT and cloud platforms. Drive cost savings, demand management, supplier performance, risk mitigation, and contract negotiations. Partner with business, finance, risk, and compliance, manage strategic supplier relationships, and coach sourcing professionals to deliver measurable value across ERP, analytics, AI, cloud infrastructure, DevOps, and observability domains.

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.

Leads a team of Client Service Representatives handling business license filings. Supervises daily operations, sets goals and performance metrics, delegates work, conducts reviews, manages escalations, develops employees, provides coaching, resolves conflicts, and drives productivity, service quality, and client satisfaction.

Develop and deploy foundational AI systems, including foundation model training, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Optimize large-scale AI systems for cost, latency, throughput, scalability, and reliability. Own complex AI architecture, define reliability objectives, improve GPU/TPU utilization, lead technical reviews, ensure security and compliance, and mentor engineering colleagues.

Leads complex technical programs involving Generative AI, distributed systems, enterprise platforms, and cloud services. Establishes program roadmaps, operating mechanisms, maturity models, and measurable outcomes; coordinates architecture, dependencies, investment planning, and delivery across engineering teams. Acts as an executive escalation point, drives tradeoffs among speed, cost, and resiliency, and develops the organization’s TPM discipline through standards, tooling, metrics, and leadership influence.

Design, develop, deploy, and support enterprise AI systems, including foundation models, LLM inference, agentic workflows, vector search, model evaluation, governance, and observability. Establish AI architecture standards, optimize model performance, cost, latency, and scalability, and lead model routing and orchestration initiatives. Drive responsible AI practices, contribute to technical roadmaps, mentor engineering teams, and influence cross-functional stakeholders and enterprise AI strategy.

Provides executive and employee communications during major IT incidents, translates complex technical topics into clear messaging, develops presentations and communication strategies, supports communications tools, maintains brand standards, monitors media trends, and produces video content. Advises stakeholders and executive leaders while coordinating high-impact, systemwide IT communications across the Federal Reserve.

Own the enterprise network automation product strategy and roadmap, translating operational challenges into measurable automation initiatives. Lead secure network-as-code, intent-based networking, and policy-driven automation delivery while partnering with engineering, security, compliance, architecture, and risk teams. Ensure workflows meet governance, audit, change-control, rollback, and regulatory requirements. Track automation, reliability, compliance, and MTTR metrics while enabling safe experimentation and scalable production implementation in a regulated environment.

Owns product vision execution by translating customer and business needs into prioritized requirements, user stories, acceptance criteria, and Agile team backlogs. Partners with architecture, engineering, QA, and stakeholders to deliver solutions, manage risks and dependencies, evaluate defects, monitor OKRs, and present product outcomes. Supports governance forums, product proposals, roadmap communication, and continuous Agile and process improvement within a complex financial services organization.

Leads the Coverage & Insights team within Global Legal & Compliance, providing strategic insurance coverage advice, policy and industry insights, and regulatory analysis. Oversees legal service delivery for US Retail Markets and Global Risk Solutions, develops performance dashboards, improves workflows and resource allocation, and partners across legal and business teams. Advises on complex first- and third-party insurance coverage matters while developing talent, fostering inclusion, and driving operational excellence through data, technology, and continuous improvement.

Leads complex, multi-year technology programs from planning through delivery, coordinating cross-domain teams, governance, risks, dependencies, finances, cutovers, and stakeholder communications. Modernizes program management through AI assistants, automation, analytics, and AI-enabled SDLC practices. Partners with technology, product, architecture, data, security, finance, and procurement leaders, while establishing metrics, managing delivery execution, and promoting responsible AI adoption across the TPM community.

Manages routine to moderately complex bodily injury claims from investigation through resolution. Evaluates coverage, liability, compensability, damages, and reserve requirements; develops claim action plans; conducts investigations; communicates with stakeholders; and negotiates settlements within authority limits. Refers appropriate cases to subrogation or special investigations teams while maintaining regulatory compliance and customer service standards.

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.

Manage full-cycle, high-volume recruiting for R&D and G&A roles, including sourcing, candidate engagement, application review, hiring-manager partnership, pipeline development, inclusive hiring, and recruitment metrics. The role requires adapting strategies to changing business needs, supporting strong candidate and stakeholder experiences, and collaborating cross-functionally to meet hiring goals.

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.