Top Fintech Jobs in Boston, MA

Handle inbound calls and warm leads, consult customers on insurance needs, recommend appropriate Property & Casualty coverages, and convert prospects into policyholders. The role includes paid training and licensing, remote work, commission opportunities, customer service, sales closing, and adherence to scheduled weekday and weekend shifts. Employees must obtain a Property & Casualty license and meet home-office and internet requirements.

Leads Commercial Casualty Excess claims operations, managing staff, resources, claim strategy, reserves, settlements, service quality, compliance, reporting, and continuous improvement. Partners with underwriting, legal, reinsurance, brokers, insureds, and counsel to achieve optimal outcomes. Develops employees, addresses performance issues, manages complex claims, monitors litigation and regulatory trends, and supports strategic business planning.

Leads hands-on development and evaluation of generative AI, agentic systems, MLOps solutions, semantic data layers, knowledge graphs, and GenAI evaluation frameworks. Collaborates across data science, engineering, and business teams; champions best practices, leads working groups, provides technical consulting, and communicates complex findings to stakeholders. This is an individual contributor role focused on enterprise data strategy and AI/ML innovation.

Build and improve ML platform tooling, infrastructure, workflows, and observability for machine learning models, LLMs, and agentic applications. Collaborate with ML and infrastructure teams, evaluate and integrate open-source tools, automate fine-tuning and evaluation pipelines, and debug distributed systems across infrastructure, networking, and application layers.

Lead strategic and tactical projects across the product lifecycle, managing plans, governance, scope, timelines, dependencies, budgets, risks, and documentation. Build stakeholder relationships, communicate updates and recommendations to leadership, coordinate with Product Operations, and implement scalable process improvements. The role requires cross-functional collaboration, Agile, Waterfall, or Hybrid methodology experience, and strong proficiency with spreadsheet and presentation tools.

Conduct applied AI research and build foundation models across design, training, evaluation, validation, and production implementation. Collaborate with data scientists, software and machine learning engineers, and product managers to deliver scalable AI products. Research LLMs, optimization, fine-tuning, and agentic AI; publish findings through technical reports and conference submissions; and independently pursue impactful research agendas.

Leads applied AI research and teams developing foundation models and production-scale machine learning systems. Sets research strategy, mentors applied scientists, partners with engineering and product leaders, and translates advanced AI research into customer-facing products. Requires expertise in large-scale deep learning, LLMs, optimization, model deployment, research publications, and organizational leadership.

Develop liquidity forecasting and stress-testing models, improve automation and scenario analysis, assess contingency funding needs, and create liquidity stress playbooks. Evaluate internal liquidity measures against rating agency and regulatory views, conduct peer analysis, and deliver insights to senior leadership. Collaborate with Treasury, Investment Management, Actuarial, Risk Management, FP&A, and Controllership teams.

Lead the global security Governance, Risk, and Compliance function, overseeing multi-framework audits, control governance, enterprise risk assessments, remediation, policy architecture, and compliance automation. Manage GRC specialists and the US regulated markets team while partnering with executives and cross-functional stakeholders. Drive compliance by design, AI-enabled continuous monitoring, evidence collection, security awareness, and regulatory alignment across ISO 27001, SOC, PCI DSS, FedRAMP, ITAR, and DoD IL4/5 requirements.

Leads FP&A activities including month-end close, budgeting, forecasting, scenario modeling, financial reporting, variance analysis, and KPI development. Partners with senior leaders to guide financial decisions, manages a senior analyst, and improves finance systems and data processes. Oversees OneStream and related infrastructure, automates reporting, ensures data integrity, and supports operational alignment with financial objectives.

Supports consulting projects across industries by analyzing client problems, developing strategies, leveraging data and technology, preparing presentations, identifying findings, leading meetings, managing workstreams, and delivering recommendations. Builds client relationships, collaborates with senior consultants and internal teams, contributes to project management and intellectual capital, and operates in a fast-paced, deadline-driven environment with semi-regular client-site travel.

Generate restaurant prospects, manage the full sales cycle, conduct product demonstrations, develop customized solutions, negotiate with decision-makers, and close new business. The role requires maintaining sales activity in Salesforce, understanding competitors, meeting goals, and partnering with internal teams to ensure successful delivery. This is a remote inside-sales position focused on acquiring SMB restaurant customers.

Serve as the technical lead for complex mid-market retail sales opportunities. Conduct discovery, deliver tailored demonstrations, design integrations and data flows, lead pilots and proofs of concept, complete technical RFPs and security reviews, and ensure effective implementation handoffs. Partner with Sales, Product, Partnerships, and Implementation while communicating customer needs, product gaps, and roadmap priorities. The role requires POS and retail operations knowledge, API fluency, strong communication, and willingness to travel up to 25%.

Leads the Federal Reserve Bank of Boston’s Data & Analytics department, setting strategy, architecture, governance, and multi-year technical roadmaps. Oversees self-service analytics, data infrastructure, pipelines, curated datasets, visualizations, and decision-support tools. Builds stakeholder partnerships, ensures responsible AI use, manages operational risks and controls, and develops a high-performing multidisciplinary team. Represents the function to executive leadership and collaborates across the Federal Reserve System.

Provides legal guidance on alternative investment products, including private equity, private credit, hedge, and real estate funds. Drafts and negotiates distribution, placement, side letter, confidentiality, and related agreements; reviews private fund offering materials; advises on securities laws, product structures, and regulatory risks; and partners with legal, compliance, risk, product, operations, and business stakeholders throughout the investment-product lifecycle.