Top Fintech Data & Analytics Jobs

The Growth Analyst will analyze and optimize acquisition channels for US loans, drive strategy based on data insights, and uncover growth opportunities while collaborating with the Senior Growth Manager.

Define and manage internal data products using Big Data and advanced analytics to solve business problems. Own product lifecycle: roadmap, requirements, data asset identification, model feature definition, vendor selection, infrastructure coordination, testing, success measurement, and stakeholder/executive communication while ensuring compliance and risk controls.

Manage onboarding, data structures, collection, and reporting for private markets clients. Lead client-facing reporting, build customized dashboards, respond to ad-hoc requests, support product rollouts, and mentor associates to ensure timely, accurate deliverables.

The Information Architect leads the design and governance of enterprise data architecture, collaborates with stakeholders, and resolves complex data issues to ensure data integrity across investment processes.

Design and build automated solutions, integrations, and data pipelines to eliminate manual operational work. Develop Python scripts and REST API integrations, write SQL for investigations and reports, document workflows and runbooks, monitor production automations, and partner with Operations, Engineering, and Data teams to prioritize and deploy reliable, observable automation.

The Supervision Performance & Automation Analyst assists in delivering automated workflows and optimizing processes using data analysis tools like Alteryx, enhancing efficiency for the Supervision team.

Audit MAC/pricing/contract exceptions, submit and track appeals with carriers, produce weekly and ad-hoc BI reports and dashboards, pull data for QBRs/MBRs, perform UAT and product testing, upload and tag claims in audit tools, maintain HIPAA compliance, and support process improvements and client communications.

Serve as a data subject-matter expert for Capital Partners, translating business needs into requirements, user stories, and tactical data solutions. Partner with front-office, investment, and technology teams, support UAT, create data catalogs/flow diagrams, and drive process improvements to advance an AI-ready data platform.

Lead and own Tomo's data function end-to-end: strategy, roadmap, platform health, hiring and developing a cross-functional data team. Hands-on player-coach building dbt models, writing SQL, designing experiments, driving marketing measurement, partnering with Product and Engineering, and communicating data-driven recommendations to executives.

Design, implement, and operationalize an enterprise data governance framework. Lead governance councils, define stewardship and metadata practices, ensure regulatory compliance, integrate AI governance, monitor KPIs, and drive adoption across business, technology, risk, and compliance.