Top Fintech Data & Analytics Jobs

The Senior Quantitative Financial Analyst designs and tests financial models, performs data analysis, conducts tests on financial products, and collaborates with various teams to improve financial calculations and models.

The Quantitative Financial Analyst designs and tests financial models, researches data inputs, and collaborates with teams to enhance products and analyze results.

The Corporate Development Director will lead M&A activities, drive strategic insights, evaluate deal opportunities, and enhance collaboration across the organization. They will utilize analytical rigor, maintain relationships, and navigate complex transactions to foster Circle's growth in financial technologies.

As a Senior Data Analyst in Finance, you will perform data analytics and financial modeling, optimize reporting processes, collaborate across teams, and provide actionable insights.

As a Data Analyst in Finance, you will support finance and accounting through analytics and automation, design dashboards, and collaborate across departments for insights.

As a Senior Emerging Risk Data Analyst, you'll drive data analysis strategy, create data queries, develop dashboards, and summarize findings for stakeholders.

Lead Hometap's data architecture and engineering functions, ensuring data is a strategic asset and managing teams for efficient data governance and operations.

The Senior Data Scientist will analyze data to influence marketing strategies, develop reports, and collaborate with teams to enhance business growth.

As a Senior Analytics Engineer, you will design data models and optimize analytics pipelines, empowering stakeholders through collaboration and best practices in data governance and quality.

As a Principal Data Engineer, you will design and develop data pipelines in a cloud-based environment, mentor junior developers, and improve data solutions for analytics and reporting across the organization.

The Senior Reporting Analyst will design and deliver reporting solutions, translate business needs into technical requirements, and enhance data quality and visual insights, collaborating cross-functionally.

The Principal Data Scientist will lead machine learning initiatives, drive business value, and work on predictive models for marketing and customer behavior.