Top Senior Level Fintech Data & Analytics Jobs

The Senior Risk Associate supports risk reporting, participates in operational risk assessment, and collaborates on risk management strategies with leadership.

Design, develop, test, implement, and support cloud-based data solutions. Collaborate with Agile teams on full-stack and distributed systems, using Java/Scala/Python, RDBMS/NoSQL, data warehousing and streaming tools. Mentor engineers, perform unit tests and code reviews, and deliver performant, production-ready data platforms to support machine learning and customer-facing products.

Lead revenue analytics at Gusto, driving data strategies for growth. Oversee forecasting, marketing analytics, and customer insights across teams.

The Senior Analytics Engineer will design and maintain ELT pipelines, manage data layer for CX, and partner with teams to transform data into actionable insights.

The Director, Data Acquisition will lead strategies for acquiring and integrating third-party data, manage vendor relationships, and ensure compliance with data governance and privacy standards.

The Senior Analyst will develop data quality frameworks, analyze datasets, resolve data issues, and mentor junior analysts while ensuring compliance with governance policies.

The actuary will conduct complex analyses, recommend actuarial assumptions, support governance committees, communicate findings, and enhance analytics processes.

The Actuary will provide analysis and leadership on inforce management and regulatory deliverables, oversee compliance, and collaborate across teams to enhance profitability and reporting for insurance products.

The AI Architect will develop AI architecture strategies, frameworks, and governance to enhance MassMutual's digital capabilities, collaborating with various stakeholders for implementation.

Lead design and delivery of Internal Audit reporting: ensure data reliability, build Power BI dashboards, automate reporting workflows (Power Automate/APIs), and craft executive-level narratives for Internal Audit, senior leadership, and the Audit Committee. Collaborate across audit, technology, and analytics teams to maintain data integrity, drive continuous improvement, and support strategic SAO initiatives.

Design and deliver enterprise-scale data models and analytics-ready datasets in Snowflake; build reliable ELT/ETL pipelines (batch and near-real-time); implement data quality, observability, and performance optimizations; publish curated data to downstream systems; enforce documentation, lineage, schema evolution, and secure handling of sensitive data while collaborating with product, operations, and engineering teams.

The Senior Analyst will support TransUnion's Alternative Data operations, monitor data quality, troubleshoot issues, and maintain customer service standards.

The Principal Revenue Data Analyst will build analytics and automation for finance controls, create data models, dashboards, and ensure data quality while collaborating cross-functionally.

The Senior Data Analyst will conduct analyses, automate reporting, and provide insights to inform strategic decisions and business performance across teams.

The Senior Data Analyst will provide analysis to support decision-making, automate reporting with SQL and BI tools, and build dashboards for insights.

Lead the Deposits Modeling team, manage model development, ensure compliance, and align strategies with BSIRRM's objectives while overseeing risk analytics.

The role involves implementing mortgage prepayment models into a financial analytics library using C++, requiring collaboration across teams and adherence to software engineering practices.

Lead client engagements delivering advanced reporting, analytics, and large-scale historical data migrations into Unanet ERP AE. Design and validate complex SQL, SSRS, and Power BI solutions, mentor junior consultants, use AI-assisted tools for analysis and QA, and manage multiple projects to ensure accurate reconciliation and client outcomes.

Lead the Product Analytics team to unify analytics efforts, establish metrics, drive strategic decision-making, and enhance product understanding and customer experiences through data-driven insights.