Top Financial Services Data & Analytics Jobs in Boston, MA

As a Senior Data Scientist, you will enhance risk models, design AI/ML solutions, and collaborate with teams to optimize pricing and underwriting processes.

Lead a team delivering insights for workforce decisions, partnering with HR to leverage analytics and improve employee experience.

The Data Strategy Execution Lead will evolve data platform strategy, lead cross-functional teams, architect data solutions, and ensure alignment with business strategies while facilitating AI/ML initiatives and data governance.

The Senior Performance Tester engages in project lifecycles to define performance practices, develops/test scripts, executes tests, and analyzes results.

The Senior Developer will design and implement healthcare IT solutions, focusing on rules-based edits in claims processing, and work collaboratively in an agile environment.

Analyze and interpret complex revenue cycle data using advanced analytics, develop dashboards, lead RCM initiatives, and mentor junior analysts.

The Senior Associate will perform deep analyses using structured and unstructured data to support investment decisions, build analytics pipelines, and collaborate cross-functionally to drive strategic action.

Develop sophisticated fraud detection models using advanced analytics and machine learning techniques. Collaborate with teams to implement solutions and present findings.

Manage and analyze portfolio company financial data, ensuring data integrity and producing actionable insights for private equity and infrastructure assets.

The Research Data Analyst will monitor and resolve data quality issues, manage research databases, develop controls, and support investment teams' data requirements.

Lead a team of product analysts to provide insights that improve the loan lifecycle, efficiency, and customer satisfaction through analytics and collaboration with product teams.

The Data Science Lead Analyst collaborates with stakeholders to analyze workforce data, develop machine learning models, and drive data-driven HR strategies while ensuring data privacy and ethical standards.