Top Fintech Data & Analytics Jobs

The Senior Data Scientist will optimize marketing investments through statistical and machine learning models, working closely with finance and engineering teams.

The Senior Data Engineer will design and manage data pipelines for massive datasets, ensuring quality, cost management, and effective data operations. Responsibilities include overseeing data flows, monitoring data quality, and managing vendor partnerships.

The Business Systems Analyst evaluates processes, analyzes requirements, manages projects, liaises with stakeholders, and develops data reports and solutions.

The Senior Credit Risk Manager will oversee credit analysis, experimentation design, performance monitoring, and strategic decision support in the U.S. loans business.

Combine strategic consulting and quantitative modeling to design and execute data-driven growth plans for wealth management partners. Build forecasts, run sensitivity analyses, translate performance data into partner recommendations, monitor KPIs, present to executives, and lead partner-facing business development to source and close new partnerships.

Own and improve the company data stack: expand the data warehouse, build and streamline Python-based ingestion and ETL processes, refactor dbt models, maintain data quality, standardize reporting, and collaborate with engineering and analysts. Act as technical owner for parts of the stack and proactively drive improvements and automation.

Lead design and delivery of company-wide data models and analytics products. Gather requirements, define outcomes, enforce data standards, and partner with analysts, engineers, and PMs to scale reliable data solutions and practices.

Business Data Analysts will engage in cross-functional analytics problems, utilizing data to drive business improvements across Marketing, Analytics, and Engineering teams.

Lead Analyst partners with advertisers and banks to analyze large purchase and engagement datasets, generate actionable insights, present findings to clients, mentor junior analysts, and develop repeatable analytic approaches and self-service tools using SQL, Python, R, and Tableau to drive customer engagement and advertiser value.

The Analyst will manage cross-functional projects for Strategic Partnerships, ensuring effective execution, supporting business development, building operational infrastructure, and contributing insights to shape company strategy.