Top Fintech Data & Analytics Jobs

The Senior Business Analyst will assist with data analysis, manage relationships with partners, implement improvements, and engage in pre/post conversion activities.

Provide reporting and BI support by collecting and reconciling data, maintaining KPIs, building Power BI and SSRS reports, executing SQL queries, testing and troubleshooting, ensuring compliance, supporting stakeholders, and developing technical documentation.

Lead the fraud data science team, developing machine learning models for fraud detection, conducting deep analyses, and collaborating with stakeholders to enhance the platform’s security.

Lead development and implementation of methodologies to generate compliance data insights. Own KPIs, compliance data roadmap, remediation activities, and dashboards. Manage and develop staff, partner with U.S. Compliance, Risk, and stakeholders to turn information into actionable intelligence, strengthen governance, and enable long-term compliance capabilities and strategic initiatives.

As a Systems Analyst, you'll analyze system operations, manage SQL Server databases, support development and maintenance, and liaise with stakeholders to gather and communicate system requirements.

The Business Analyst will improve processes, document requirements, participate in projects, and collaborate with technology experts to ensure effective solutions.

The Financial Crimes Strategist monitors and investigates transactional activity, reviews alerts, optimizes monitoring rules, and collaborates on fraud detection strategies.

The Senior Business Systems Analyst will formulate system scope, validate requirements, test applications, support end-users, and drive enhancements in US Private Wealth platforms.

The Senior DataOps Engineer oversees data management and storage systems, ensuring timely access to secure and accurate data, improving data workflow automation, and collaborating with teams to meet business needs.

Lead analytics efforts by designing, validating, and deploying queries and reports, building visualizations, automating data processes, partnering with stakeholders including C-suite, documenting processes, performing root-cause analysis, and supporting projects across business, operations, and risk. Responsible for data warehousing practices, SQL/Python work, BI tool administration, and delivering insights to drive decision-making.