Top Senior Level Fintech Data & Analytics Jobs

Develop and maintain complex datasets for assumption setting, valuation, projections, and analysis. Lead data quality controls, drive data improvements, collaborate with cross-functional teams, perform programming-based analysis (SQL/Python/R/SAS), review code/logic, and manage data-related projects to support actuarial models and business decisions.

Lead design, build, and scale of data platform capabilities across Snowflake and AWS. Develop ETL/ELT pipelines, CI/CD and IaC, monitoring, and governance. Mentor engineers, collaborate cross-functionally, and ensure security and compliance (SOC2, PCI-DSS).

Lead a team of senior data engineers to operate and advance Carta's data infrastructure: build resilient pipelines, enable NLQ, enforce fine-grained access controls, drive platform migrations, and improve observability and automation.

The Sr. Lead Analyst supports SOX IT governance activities, performs complex control evaluations, collaborates with stakeholders, and enhances SOX IT processes.

The Credit Risk Business Analyst(Tech) liaises between business users and IT, analyzing data and managing system changes to improve credit risk processes and support strategic business decisions.

Lead the data strategy, architecture, and design initiatives across payments services, reconciliations, and reporting by simplifying data pipelines and enhancing analytics.

The Data Quality Lead Analyst ensures Data Exceptions are identified and reported, improves data quality, and collaborates with stakeholders on data challenges. Responsibilities include driving Data Quality measurement and managing compliance with standards.

The role involves developing tools in Python, leading projects, managing stakeholder engagement, and enhancing operational efficiency within Product Control.

As a Senior CRM Analyst, you'll manage CRM processes, ensure data quality, support Microsoft Dynamics CRM, and provide user support and training. You'll also collaborate with teams to drive process improvements and manage data enrichment projects.

The Sr. Data Scientist will mine and model large datasets, design experiments, conduct analyses, and support Sales and B2B Marketing departments in deriving actionable insights.

The Lead Data Risk Analyst develops and coordinates reporting and analytics for risk management, ensuring effective program implementation across business lines.

The Data Steward is responsible for ensuring data integrity, accuracy, and compliance by implementing governance practices and quality controls. They collaborate with stakeholders to maintain data quality and support informed decision-making.