Top Fintech Data & Analytics Jobs in Boston, MA

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Lead the Data Platform Engineering team owning ETL/reverse-ETL pipelines, replication, and production datastores. Define architecture, roadmap, standards (IaC, observability, schema contracts), mentor engineers, drive incident response and durable fixes, and partner on cross-team technical decisions and operational reliability for data correctness, completeness, and timeliness.

Supports ETL processes, reports, and data lake operations; monitors production workflows, troubleshoots failures, restarts processes, and resolves issues with internal business partners. The role also creates new processes and reports, provides assignment updates, and participates in scheduled off-hours on-call support. Candidates should have foundational programming, systems administration, testing, performance testing, software development, and DevOps knowledge, plus familiarity with SQL Server and reporting tools.

Analyze and maintain investment data, build quantitative models and performance attribution systems, automate reporting workflows, and create dashboards for investment teams. Partner with research, portfolio construction, risk, and technology stakeholders to translate business needs into reliable data solutions. Support data quality, model governance, backtesting, scenario analysis, factor research, process improvement, and evaluation of AI and machine learning capabilities.

Research and analyze business processes, workflows, and improvement opportunities for new business and underwriting technology platforms. Gather and document requirements, develop system maps, user stories, acceptance criteria, test plans, and recommendations. Coordinate process changes and system enhancements while facilitating design sessions and supporting product, performance, and user acceptance testing. Collaborate with technical and non-technical stakeholders to align solutions with business strategies.

Develop and maintain investment data solutions, quantitative models, performance attribution systems, dashboards, and reporting workflows. Partner with investment professionals to translate analytical needs into reliable data products supporting portfolio construction, manager selection, risk analysis, and research. Automate processes, improve data quality, apply model governance, and collaborate with technology and risk teams across global offices.

The Senior Data Engineer will build data pipelines and infrastructure, modernize legacy systems, and ensure data reliability for analytics at ABCorp.

The Senior Analytics Engineer will strategize data initiatives for secure payment solutions, crafting data models and KPIs while collaborating cross-functionally to enhance product insights and analytics capabilities.

The Lead Investment Data Analyst will design and operate data solutions, manage data quality, and mentor a team while collaborating with various business units.

Optimize the insurance platform through partner performance management, data analytics, dashboards, integrations, and process improvements. Liaise with BGAs, carriers, and internal teams to improve advisor experience, placement rates, and operational efficiency while supporting technology rollouts, marketing coordination, and strategic platform expansion.

Support US Intermediary sales by transforming sales and market data into actionable insights. Lead analytical initiatives across product lines, identify growth opportunities, partner with sales leadership, and leverage AI and visualization tools to deliver executive-ready recommendations that influence targeting, campaigns, and distribution strategy.