Top Senior Level Fintech Data & Analytics Jobs

Manage the Risk Data Analytics team, oversee projects, build data visualizations, analyze data for fraud trends, mentor junior analysts, and enhance risk strategies.

Lead design, build, and maintenance of scalable data pipelines and lakehouse infrastructure using PySpark, Databricks, and Airflow. Own data & ML platform (Terraform, Databricks), improve observability, data quality, and developer tooling, and partner closely with Data Science and engineering teams.

The Analytics Manager will drive data-driven sales strategies, optimize sales effectiveness, and collaborate with cross-functional teams to improve performance and conversion rates.

As a Senior Data Analyst, you'll provide insights to drive growth by analyzing data, developing dashboards, and collaborating across teams to meet business objectives.

As an FP&A Data Engineer, you will manage data pipelines, develop financial models, and automate reporting to assist management and teams in making data-driven decisions.

Lead the development and execution of a global privacy program, manage privacy operations, and ensure compliance with privacy regulations.

Define, deploy, and govern enterprise data and metadata architecture. Establish standards for data modeling, integration, ETL, warehousing, metadata catalogs, security, auditability, and guide project teams and vendors to ensure compliance.

The Performance Data Analyst will produce and validate performance reports, collaborate with teams, and enhance measurement capabilities.

The Risk Portfolio Analytics Manager leads risk reporting and analytics, ensuring a data-driven view of risk exposure and portfolio performance. Responsibilities include producing reports for governance bodies, monitoring performance, enhancing fraud analytics, and improving reporting frameworks.

The Risk Authentication Strategy Advisor enhances authentication processes, analyzes trends to identify risks, collaborates on strategic initiatives, and presents KPIs to leadership.