Top Fintech Jobs in Boston, MA

Lead design and evolution of private credit operating model and deal lifecycle processes. Drive process improvements, data quality standards, cross-functional alignment, risk controls, and automation to support portfolio growth and complex loan structures. Act as operational subject matter expert, engage early on new deal types, and communicate changes to senior stakeholders.

Join the Energy & Infrastructure investment team to originate, underwrite, execute, and monitor direct investments, co-investments, and fund commitments. Lead diligence, build financial projections and investment committee materials, structure and negotiate terms, maintain partner relationships, and collaborate with Legal, Finance, Accounting, and Risk to manage the portfolio and support origination efforts.

Design, build, and maintain the DataForge data platform using full-stack engineering practices. Collaborate with product and cloud teams to implement RESTful APIs, CI/CD pipelines, and cloud-based services, improve platform performance and reliability, and deliver data products in an Agile environment while mentoring and communicating decisions to non-engineers.

Provide independent credit oversight and approval for complex asset-based lending portfolios. Monitor and mitigate portfolio risk, lead approval discussions, design risk controls, advise senior leaders, resolve challenged credits, and mentor credit professionals to ensure prudent underwriting and consistent risk-based decisions across the organization.

Manage a portfolio of complex Middle Market (primarily Investor Real Estate) commercial banking credits. Partner with relationship teams to underwrite, monitor, and structure loans; prepare and present credit memos; negotiate terms and documentation; ensure compliance with policies and regulations; resolve problem accounts; lead projects and mentor colleagues while advising senior leadership on portfolio risk and solutions.

Develop, deploy, and maintain web applications, APIs, and integrations using Vue.js, JavaScript, and Python; work with relational databases and AWS; participate in Agile processes; apply basic AI/LLM concepts and automation to improve business workflows; troubleshoot production issues and write secure, maintainable code.

Support Business Banking with analytics, reporting, dashboards, and automation to drive deposit acquisition, onboarding, funded balance growth, and retention. Produce forecasting and pipeline reporting, provide deposit strategy and profitability insights, enable go-to-market and campaign analysis, and standardize onboarding and data processes to improve efficiency and data quality.

Lead a team building cloud-based, AI-enabled risk management solutions; own full-stack and microservices architecture, mentor engineers, collaborate with product managers, and deploy scalable systems using cloud, container orchestration, databases, and modern programming languages.

Design, train, validate, and implement machine learning models using large-scale transaction and cash-flow data. Engineer predictive features, partner with engineers and product managers, and translate technical results into business outcomes to forecast creditworthiness and customer behavior.

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.

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.

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.

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.