Cloud Data Architect Jobs
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Fraud Data Scientist
Title: Fraud Data Scientist Compensation: $140k - $165k base + bonus Company Summary: A leading consulting firm is seeking a Fraud Analytics Senior Associate/Data Scientist to help clients across financial services, fintech, and payments strengthen fraud detection capabilities. The role combines fraud strategy, machine learning, and advanced analyt...
Lead Data Scientist
Company OverviewGlobal insurance and financial services company with over 90 years of history.Provides personal, commercial, specialty insurance, reinsurance, and asset management services.Operates in more than 100 countries and serves a broad range of customers and industries.SummarySeeking an analytics leader to build machine learning and AI solu...
Senior Java Developer
Build the Future of Mortgage InsuranceOur client is reimagining mortgage insurance from the ground up, replacing legacy systems and manual processes with modern software, automation, AI, and cloud-native technology. Our mission is to build the industry's most technology-enabled mortgage insurer through innovative engineering and scalable platforms....
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AI Engineer
Applied AI EngineerNYC, hybrid We're partnered with a leading quantitative investment and technology firm that is building out a new generation of AI-powered tooling and looking to hire an AI Engineer to help drive the initiative.This is a highly hands-on role focused on identifying real business problems and building AI-driven solutions that impro...
Mortgage Analytics Developer
Mortgage Analytics Developer - Fixed Income and MortgagesOur client is a highly respected New York-based alternative asset manager focused on structured credit, mortgages, and asset-backed investments. The team combines deep fundamental credit expertise with sophisticated quantitative analytics and technology, providing direct exposure to portfoli...
Kubernetes Tech Lead
Must be based in the Continental United States8+ years of Platform Engineering, Infrastructure Engineering, SRE, DevOps, or Kubernetes Engineering experienceDeep hands-on experience building, scaling, and operating Kubernetes platforms in productionStrong understanding of Kubernetes architecture, networking, storage, security, and cluster lifecycle...