Quantitative Data Engineer
We are seeking a Quantitative Data Engineer to design and implement our proprietary quantitative investment systems. You will be a key player in the Technology team and will research, design, code, test and deploy projects while working in a fast-paced environment.
Responsibilities include:
- Implement, enhance, and manage quantitative models
- 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
- Develop and manage reporting and performance analytics platforms
- Work closely with quantitative researchers on data requests and model development
- MS/PhD in Computer Science, Engineering, Statistics, or related discipline with excellent academic credentials
- Strong knowledge of financial equity data, a plus with experience in Bloomberg, Thomson Reuters, Compustat, and CapIQ data
- Broad knowledge of database concepts with proficiency in SQL and stored procedures, preferably with Microsoft SQL Server
- 2+ years of solid coding experience in Python, Julia, C++, C#
- Experience in processing large and complex datasets
- An advanced knowledge of math and statistics
- Strong communication skills and ability to collaborate across teams
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