Our client, a leading quantitative asset manager is seeking a Quantitative Data Engineer to design and implement 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. The Quantitative Data Engineer will work closely with quantitative research and portfolio management professionals to implement new ideas
Responsibilities:
- Implementing, enhancing, and managing quantitative models
- Designing and improving proprietary data repository and financial data platforms
- Automating and supporting the Extract, Transform, and Load (ETL) processes from various market data vendors
- Developing and managing reporting and performance analytics platforms
Requirements:
- 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, C++, C#
- Experience in processing large and complex datasets
- An advanced knowledge of math and statistic
Education:
- MS/PhD in Computer Science, Engineering, Statistics, or related discipline with excellent academic credentials
If you would like to be considered for the position of Quantitative Data Scientist Engineer, or wish to discuss the role further then please leave your details below. Your resume will be held in confidence until you connect with a member of our team
