Top Fintech Data & Analytics Jobs

The Research Associate manages fund selection, conducts due diligence, and participates in portfolio construction. The role requires strong analytical skills and market knowledge.

The Business Analyst will collaborate with product and engineering teams, analyze product requirements for trading features, conduct market analysis, and ensure proper documentation throughout the feature lifecycle.

As a Quant Researcher, you will research volatility modeling and options valuation, implementing solutions in C++ and Python for financial applications.

Lead data infrastructure and business systems including Salesforce, Okta, ETL, and BI tools. Build analytics/reporting (ARR, renewal schedules, cohort analysis), manage data pipelines and integrations, oversee IT admin across offices, and deliver product and GTM analytics to inform leadership decisions.

Design and customize Sage Intacct, develop financial reports, support data migration, and train users while ensuring compliance with GAAP.

The Head of Data will shape the data architecture, manage data infrastructure, and facilitate insights through self-serve analytics while collaborating with AI teams.

The role involves analyzing complex datasets for private equity transactions, providing insights for due diligence and performance, using various analytics tools and programming languages, and ensuring strategic decisions are informed.

As a Data Scientist, you'll analyze credit risk, monitor portfolios, develop strategies, and collaborate across teams to transform findings into actionable recommendations.

The role involves reporting, data automation, performance analysis, and collaboration with various teams in asset management to enhance data integrity and reporting processes.

Own and improve the client data, performance, and reporting platform, building workflows, automation, and AI-enabled controls to ensure accuracy and anticipate problems. Partner across investing, trading, compliance, operations, and tech to design data architecture, decision-support tools, and integrated front-to-back workflows that scale and increase trust in client-facing outputs.