Sr. Managing Consultant/Managing Consultant Full Stack Engineer- Financial Institution Operations & Technology

Berkeley Research Group•Boston, NY

13d

About The Position

Berkeley Research Group is launching a Financial Institution Operations & Technology practice that combines financial services expertise with AI-enabled delivery to improve operations across commercial and consumer lending, payments, and asset and wealth management. The role offers the opportunity to help build the practice by developing AI-enabled solutions, collaborating with the AI Co-lab and vendor partners, working with client teams, and creating reusable digital assets. The position also contributes to recruiting, new offerings, thought leadership, and delivery improvement. The engineer leads hands-on application engineering workstreams that turn AI capabilities into practical tools for financial services teams. Working closely with client users, the role builds secure, accessible applications aligned with real operating workflows and supporting expert review. The engineer guides other engineers and collaborates with domain experts, data and AI specialists, and change and risk practitioners to deliver reusable applications and practical implementation roadmaps. The role is available at Managing Consultant or Senior Managing Consultant level, with the title and level determined by qualifications and experience. Preferred locations are New York, Chicago, Washington, D.C., Dallas, and Boston; strong candidates elsewhere may be considered case by case. Travel to client sites may be required. Candidates must be able to verify their legal right to work in the United States without employer sponsorship now or in the future.

Requirements

At least 5 years of applicable work experience for Managing Consultant consideration; at least 6 years for Senior Managing Consultant consideration.
Senior, hands-on experience delivering full-stack applications into production; equivalent practical experience is recognized regardless of formal education or certification.
Strong TypeScript skills and experience with React or comparable frontend frameworks, including state management, responsive interfaces, and accessible interaction design.
Ability to build and test Python or Node.js APIs and backend services, including persistence, validation, error handling, and external-system integration.
Experience implementing authentication, role-based authorization, secure session or token handling, and audit logging; understanding that permissions must be enforced beyond the frontend.
Ability to design reliable integrations and interactive workflows using REST or comparable APIs, streaming, queues, and asynchronous processing, including retries and duplicate-request handling.
Experience delivering applications using automated testing, version control, CI/CD, cloud deployment, monitoring, and practical accessibility and security checks.
Ability to lead a complex technical workstream, mentor engineers, collaborate directly with client users and technology teams to refine requirements, explain design choices, and contribute credible delivery estimates.
Ability to travel to client sites as needed.
Ability to verify legal right to work in the United States without employer sponsorship now or in the future.

Nice To Haves

Experience building operational applications for financial services teams in lending, servicing, collections, payments disputes, or investment operations.
Experience integrating AI services into applications with source evidence, human approvals, feedback capture, and clear handling of uncertain or failed results.
Experience connecting applications to enterprise identity providers, case-management platforms, document systems, or core financial services systems.
Experience developing reusable component libraries or workflow accelerators and using client research or usage data to improve adoption and operational outcomes.

Responsibilities

Lead full-stack engineering workstreams from workflow discovery through production handover, coordinating application design, implementation dependencies, and delivery risks with client teams.
Build responsive TypeScript interfaces using React or comparable frameworks to make complex operational tasks clear and efficient for client users.
Develop Python or Node.js APIs and backend services that connect workflows to AI capabilities, business rules, data products, and client systems.
Implement human-review workflows with evidence displays, editable outputs, approval steps, exception queues, and escalation paths that preserve expert accountability.
Build authentication, role-based access controls, and audit trails with client security and risk teams, enforcing permissions at service and data layers as well as in the interface.
Integrate enterprise platforms and AI services using APIs, event-driven patterns, streaming responses, and asynchronous jobs with robust error handling and recovery behavior.
Work with vendor partners and domain experts in the AI Co-lab to frame application solutions, prototype workflow options, and validate usability and integration feasibility with client users.
Establish automated unit, integration, and end-to-end tests, accessibility checks, and deployment pipelines; implement production monitoring and support procedures.
Mentor engineers and review code and designs while collaborating with data, AI, change, and risk colleagues to support adoption and track workflow performance and service quality.
Turn proven workflows and expert feedback into reusable components, integration patterns, and digital assets; contribute technical scope, effort estimates, and delivery assumptions to future pursuits.