Senior Data Engineers

Will research, design, code, test and deploy models. Will support daily trading operations and work with portfolio management teams for new ideas., * Implement, enhance, and manage quantitative models for equity markets, frequently working with quantitative researchers on new ideas

• Design and improve proprietary data repository and financial data platforms
• Automate and support the Extract, Transform, and Load (ETL) processes from various market data vendors

• MS/PhD in Computer Science, Engineering, Statistics, or related discipline with excellent academic credentials
• 3+ years of production experience developing in Python
• Proficiency in SQL, stored procedures, and database concepts, preferably with Microsoft SQL Server
• Familiarity with financial equity data, particularly Bloomberg, LSEG, Compustat, and CapIQ
• Experience in processing large and complex datasets
• An advanced knowledge of math and statistics and good problem-solving skills
• Strong communication skills and ability to collaborate across teams