Top Fintech Jobs in Boston, MA

The Senior Integration Architect defines enterprise integration strategy, designs API and middleware solutions, establishes security and governance standards, and architects scalable synchronous and asynchronous integration flows. The role supports MuleSoft and AWS API Gateway, optimizes message brokers and gateways, and partners with business and IT stakeholders. It requires extensive experience with APIs, enterprise integration patterns, identity protocols, containers, Kubernetes, and distributed systems, along with strong communication and leadership skills.

Leads the enterprise Quantitative Capital Insights team, directing economic capital modeling, capital adequacy analysis, stress testing, governance, and decision support. Advises executives and the Board on capital allocation, risk financing, M&A, pricing, portfolio optimization, regulatory matters, and strategic planning. Builds relationships across business units and enterprise functions, integrates teams, advances modeling infrastructure, and translates complex quantitative analysis into actionable recommendations.

Leads a Commercial Casualty Excess Claims team, overseeing complex claim handling, staffing, service quality, reserves, settlements, expenses, compliance, reporting, and performance. Partners with underwriting, legal, reinsurance, brokers, insureds, and counsel to achieve optimal outcomes. Develops employees, addresses performance issues, drives continuous improvement and organizational effectiveness, and contributes to strategic planning. Requires advanced commercial claims expertise, complex casualty experience, leadership capabilities, and strong financial, communication, and regulatory knowledge.

The Director I, Data Science will design and evaluate generative AI and agentic systems, develop semantic layers and knowledge graphs, and build frameworks assessing AI performance, reliability, and safety. The role collaborates with data and engineering teams, leads cross-functional initiatives, promotes best practices across the data science community, advises on complex projects, and communicates technical insights to business stakeholders. This is a hands-on individual contributor position.

Leads corporate and investment banking client engagement programs, including conferences, one-on-one meetings, and broader strategic initiatives. Responsibilities include end-to-end program management, stakeholder coordination, client targeting, executive briefings, event execution, data analysis, post-event reporting, budget tracking, and process improvement. The role partners with bankers, senior leaders, Marketing, Compliance, Legal, and Meetings & Events teams, with travel up to 40% and occasional nights and weekends.

Provide proactive technical support to internal users by resolving hardware, software, network, account, and access issues. Install and configure devices and software, support onboarding, document solutions, train users, and maintain knowledge resources. The role also assists with software deployment, Google Workspace and Slack administration, and mentoring less experienced team members while meeting response, resolution, satisfaction, and documentation targets.

Leads sales strategy and revenue growth for Mastercard’s Test & Learn platform. Builds and converts cold client pipelines, secures large multi-year deals, presents data-driven solutions to senior executives, and develops long-term client relationships. The role requires software or analytics solution-selling expertise, strong commercial and negotiation skills, experience with media and advertising clients, analytical problem-solving, and the ability to manage extended sales cycles across industries including retail, restaurants, travel, digital, CPG, and telecommunications.

Leads enterprise AI platform adoption by embedding with IT teams, building agentic workflows and integrations, improving software delivery and operations, and measuring engineering efficiency. Applies AI across the SDLC, DevSecOps, observability, security, governance, and legacy modernization. Translates field learnings into reusable platform capabilities, influences senior stakeholders, mentors engineers, and serves as a technical escalation point without direct management responsibility.

Design, develop, deploy, and support foundational AI systems, including foundation model training, LLM inference, agentic workflows, vector search, guardrails, evaluation, governance, and observability. Optimize large-scale AI systems for cost, latency, throughput, scalability, and hardware utilization. Architect multi-model orchestration pipelines, establish AI engineering standards, lead governance and design reviews, contribute to technical roadmaps, and mentor senior AI engineering leaders.

Leads technology support operations teams and drives service reliability, incident response, monitoring, automation, documentation, and operational improvements. Oversees end-user support, IT service management, change and problem management, endpoint operations, business controls, performance metrics, and compliance. Partners with engineering and security teams to improve tooling, platform reliability, service continuity, and customer experience while managing people, processes, and operational results.

Leads a marketing data science team developing and deploying machine learning models for customer acquisition and personalization. Responsibilities include designing, training, validating, evaluating, and implementing models; analyzing large-scale structured and textual data; developing Python libraries; collaborating with engineers, product managers, campaign managers, and analysts; and translating technical insights into business outcomes. The role also includes team leadership and talent development in a hybrid work environment.

Lead end-to-end client rollouts from kickoff through go-live, managing scope, timelines, risks, resources, readiness, and stakeholder alignment. Coordinate cross-functional teams, maintain project plans and go/no-go checklists, report project health, build dashboards, and improve PMO templates, playbooks, and delivery processes. Support product education and ad hoc reporting for Client Delivery leadership.

Lead the full sales cycle for SME and growth customers, from prospecting through negotiation, closing, onboarding, and early customer success. Sell fintech solutions including payments acceptance, cross-border payments, billing, and spend management. Generate pipeline, exceed revenue targets, consult with clients, negotiate contracts, collaborate cross-functionally, support partnerships, and improve scalable sales processes.

Serve as the strategic finance partner to the Product organization, evaluating new product lines, building business cases, unit economics models, pricing frameworks, forecasts, and scenario analyses. Advise product and executive leadership on investment allocation, market opportunities, and financial performance. Establish dashboards, reporting, and scalable Product Finance processes while presenting clear financial narratives to senior stakeholders.