Top Fintech Jobs in Boston, MA

Develop and maintain APIs, collaborate with cross-functional teams, manage project priorities, and promote technical development through mentoring and reviews.

The Senior Product Manager will lead generative AI initiatives, manage the product roadmap, collaborate with engineering and cross-functional teams, and represent Kensho to stakeholders in finance and technology.

As an MLOps Engineer, you'll develop tools and processes for ML workflows, empower engineers, and support a robust ML platform, focusing on collaboration and infrastructural improvements.

This role involves defining and leading the security and risk strategy for Circle's products, ensuring compliance across jurisdictions while managing product security, compliance operations, and risk assessment.

Provide legal and regulatory counsel for Circle's payments products, advising on product design, licensing, AML/BSA, consumer protection, cross-jurisdictional expansion, and compliance for launches and marketing.

As a Technical Support Engineer at Circle, you'll provide world-class support for API-based products, resolve technical issues, and improve customer experiences. You'll engage with customer support tickets, manage escalations, and lead incident management initiatives while collaborating closely with Engineering.

The Principal Product Manager will oversee product planning and marketing, manage the product lifecycle, and engage with customers while ensuring alignment with company strategy and goals.

The VP of RIA Segment Marketing will lead Advisor360°'s RIA marketing, building strategies to enhance brand presence and drive growth through data-driven campaigns and compelling content.

The Senior Lead AI Engineer will develop and support AI software components, lead cross-functional teams, and optimize AI solutions for Capital One's banking systems.

As a Distinguished Engineer at Capital One, you will drive innovation in cloud banking, leading technical solutions, mentoring teams, and developing advanced risk management products using AI and machine learning.

Lead design, build, deploy, and support production AI systems (foundation model training, LLM inference, vector search, guardrails, evaluation, observability). Optimize large-scale model performance and collaborate with cross-functional teams to define technical vision and roadmap.

The Fraud Risk Director will architect and implement a global fraud prevention strategy, oversee fraud assessment, and ensure security while enhancing customer experience as Flywire expands into new markets.

The Investment Tax Manager will analyze securities tax operations, enhance tax processes, and ensure accurate tax outcomes across investments, collaborating with cross-functional teams.

The Underwriter will review and underwrite loans, ensuring compliance with standards, and assist in loan structuring and evaluation.

The Municipality Account Executive will develop client relationships, drive new business, and manage banking needs for municipalities, ensuring tailored onboarding and proactive service.

The role focuses on business development, managing a portfolio, and coordinating loan transactions while ensuring compliance with bank policies.

The role involves managing an engineering team for the OneGL program, ensuring SAP landscape maintenance, developing team skills, and collaborating on technical solutions.

As a Senior Engineering Manager for ML & AI, you'll lead Data Science and ML initiatives, mentoring team members, and collaborating across R&D to drive strategic AI solutions that impact the business.

Design, implement, and maintain integrations and services for billing, payments, and accounting systems. Collaborate with product teams, draft technical and testing plans, and develop automated end-to-end and unit tests to ensure production reliability.

As a Principal Software Engineer, you'll architect and code backend services and ML models, integrate them with Salesforce, and mentor junior engineers.

The role focuses on daily ETF operational processes, collaborating with various stakeholders to manage workflows, monitor data exceptions, and support ETF servicing tasks.