Part of Phaidon International![]()
Showing 63 results
Sort by:
Job SummarySelby Jennings is partnered with a Leading Data Analytics firm to join their sports analytics team to drive the vision, strategy, and delivery of enterprise sports data products that enable analytics, reporting, and business decision-making.This role is ideal for a product management professional with a strong background in data platform...
Data Analyst | Quantitative Trading FirmOverviewJoin a leading quantitative trading firm where data, technology, and research drive business performance.Work with large-scale financial, market, vendor, and alternative datasets that support critical business and research functions.Partner with engineers, data professionals, and business stakeholders...
A leading global financial institution is seeking an experienced controls and governance professional to partner with a growing commodities trading business. This individual will work closely with trading, operational, technology, and support teams to strengthen risk management practices, drive process improvements, and ensure key business activiti...
Take the first step toward your next opportunity - submit your resume and get started today.

Vice President of Engineering, Investment Data & AnalyticsBoston, MA (Hybrid)Position OverviewLead the strategy, architecture, and delivery of enterprise data and analytics platforms that support investment research, portfolio management, and business intelligence initiatives.Partner closely with investment professionals, quantitative researchers, ...
ResponsibilitiesBuild and optimize scalable data pipelines and data products.Develop reliable datasets for analytics, reporting, and AI applications.Establish data engineering standards, frameworks, and best practices.Improve data quality, monitoring, testing, and platform observability.Integrate and reconcile complex datasets from multiple sources...
ResponsibilitiesBuild and optimize scalable data pipelines and data products.Develop reliable datasets for analytics, reporting, and AI applications.Establish data engineering standards, frameworks, and best practices.Improve data quality, monitoring, testing, and platform observability.Integrate and reconcile complex datasets from multiple sources...