Top Fintech Data & Analytics Jobs

Validate complex data mappings and transformations, build advanced SQL and PySpark ETL/automation, develop transactional and dimensional models for credit risk, ALM, and regulatory reporting, perform data lineage and statistical analysis, support testing/UAT/production, and deliver insights for executive decision-making and compliance.

Lead design and maintenance of scalable data models, dbt transformations, and cloud data warehouses. Manage a distributed team of 7–8 data engineers/analysts, ensure data quality, governance, ELT best practices, performance tuning, integrations, and stakeholder alignment across servicing technology.

Design, build and maintain a self-service data platform to enable teams to create data products. Support real-time analytics, batch processing and ML workloads. Implement secure, scalable, compliant infrastructure with IaC and automation. Enable ingestion, processing and consumption of data at scale. Mentor teammates and drive engineering excellence.

Build data foundations and end-to-end pipelines, research and implement quantitative pricing, market-making, and risk models for prediction markets, model cross-market dependencies and parlays, develop backtesting/simulation frameworks, monitor model performance and collaborate closely with traders to improve pricing and trading outcomes.

The Senior Mid-Office Analyst manages the trade reconciliation process, ensures data integrity, resolves discrepancies, and collaborates with trading and engineering teams.

The Financial Crimes Liaison coordinates fraud management communications, aggregates fraud casework, collaborates with business lines, and improves processes to enhance fraud detection and client communication.

Design and build scalable platforms for data ingestion and storage, collaborate with hardware engineers, and define engineering processes at Sift.

The Sr. Data Architect - Digital Director leads the design and implementation of data platforms, partners with stakeholders, and provides architectural leadership while enabling analytics and AI capabilities.

The Staff Data Analyst will build Boulevard's product data foundation, create data-driven recommendations, develop dashboards, conduct deep analyses, and foster a data-driven culture within the organization.

Build, maintain, and improve Power BI reports, paginated reports, and semantic models. Write and validate T-SQL queries, work with views/stored procedures and Fabric, perform data validation, document logic, and partner with business stakeholders to deliver reliable BI solutions and KPIs.