Top Fintech Data & Analytics Jobs

As a Lead Data Engineer, you'll design and build scalable data platforms, develop streaming data pipelines, and collaborate within Agile teams to implement data solutions.

As a Lead Data Engineer, you'll lead the design and implementation of scalable data platforms, build distributed streaming data pipelines, and collaborate on technical solutions using big data technologies and agile methodologies.

The Senior Lead Data Engineer will design, develop, and support technical solutions, lead a team, and work with cloud-based services, focusing on data integration and transformation.

The role involves gathering requirements and data analysis to support governance and quality measures, implementing data quality solutions, managing workflows, and ensuring data lineage and accuracy across diverse environments.

The Data Engineering Manager will lead a team in enhancing data delivery and quality, oversee data visualization efforts, manage projects, and partner with business leaders to implement a strategic plan.

Responsible for analyzing, developing, and configuring SAP PaPM use cases. Supports production users and configuration/testing for OneGL finance environment enhancements.

The Head of Enterprise Data Governance leads data governance strategy and frameworks at MetLife, ensuring trusted data assets and compliance across the organization, driving adoption of governance practices, and managing stakeholder engagement.

Assist in developing, testing, and maintaining software applications, collaborate on designs, participate in code reviews, and contribute to documenting processes.

As a Lead Data Analyst, you'll optimize transaction costs and success rates in payments, analyze failure patterns, and collaborate with Data Science and Engineering to enhance payment strategies and model performance.

The role involves supporting contract negotiations for market data, advising on licensing requirements, and partnering with stakeholders to deliver compliant data solutions.

As a Data Scientist, you'll provide insights to executives, use causal inference and forecasting methods, and build data products to impact business decisions.

As a Manager for Product Development, you will lead fraud detection efforts, utilize data analytics to minimize fraud risks, and improve operational processes. The role focuses on data analysis, collaboration with stakeholders, and enhancing fraud prevention strategies within Mastercard's operations.