Top Fintech Data & Analytics Jobs in Philadelphia, PA

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

The Fraud & Risk Analyst will conduct investigations of suspicious activities, collaborate with various teams, and enhance fraud detection processes to protect clients and the company.

The Manager, Growth Analytics & Marketing Science will build and evolve marketing measurement frameworks, drive analytics, and optimize marketing strategies through data and AI.

The Senior Customer and Industry Insights Analyst will analyze data trends, generate insights, publish reports, and collaborate with various departments to inform decision-making and strategy.

The Surveillance Analyst analyzes trading activity for potential violations, validates output from surveillance systems, and communicates with member firms. They conduct research, assist in survey design, and document investigative processes.

The Agentic AI Lead will design AI-first processes, lead innovation projects, drive cultural change, and partner with leaders to transform operations at Tilt.

The Lead Data Scientist will build pricing systems, lead experiments, mentor teammates, and influence strategy across various departments based on data-driven insights.

Design and implement credit strategies using data, machine learning, A/B testing and advanced analytics to optimize underwriting, pricing, and credit line decisions. Lead end-to-end analytics for credit card products, monitor portfolio performance, conduct root-cause analysis, partner cross-functionally, and communicate findings to stakeholders.

The Junior Manual QA Engineer will execute test cases, perform exploratory testing, document bugs, and collaborate with teams to ensure high-quality software. This role involves learning QA methodologies and improving testing processes alongside experienced professionals.

As a Workday Integration Consultant at Deel, you'll implement certified integrations for clients, support payroll data, troubleshoot issues, and ensure compliance while maintaining documentation.