Top Fintech Data & Analytics Jobs in Atlanta, GA

Support sales intelligence by collecting, preparing, and analyzing sales and marketing data; maintain dashboards and data quality; run pipeline and win/loss analyses; translate findings into clear visualizations and reports for stakeholders.

The Market Risk Analyst will monitor SBL lines of credit, assess market risks, manage collateral, develop risk models, and prepare reports.

The Analyst, Transaction Monitoring role involves reviewing transaction alerts, conducting investigations on fraud and compliance, documenting findings, and optimizing operational processes.

The Business Intelligence Analyst analyzes data to drive business decisions, produces actionable reports, and communicates insights to stakeholders.

The Capital Markets Quantitative Analyst develops quantitative models for trading products, leads research on financial products, and ensures project alignment with strategic goals.

Manage sales and financial performance analytics, reporting, and insights for the Partner business line, identifying trends and supporting decision-making.

As a Sr Certification Analyst, you will manage certification processes, analyze requirements, troubleshoot technical issues, and provide consultative guidance while overseeing projects and mentoring junior staff.

The Software Data Architect, Advisor designs secure data architectures for fraud detection, manages data pipelines, collaborates on ML models, and ensures data quality and governance.

The role drives analytics and strategies against fraud initiatives across Synchrony's credit product suite, collaborating and communicating with senior leadership and key partners.

Conduct auditing activities of model risk management, assess controls supporting model life cycle, and influence management's strategic direction.

Develop sophisticated alpha-generating models focusing on asset allocation and portfolio optimization. Collaborate with portfolio managers on macroeconomic issues, enhance existing models, and implement machine learning techniques for portfolio selection.

Leads data architecture and governance initiatives, builds business intelligence solutions, mentors team members, manages data quality, and ensures compliance with governance standards.