Quantitative Data Engineer ( 5-7 yrs Exp ) ( $120K - $140K Base Salary )
Location: Florham Park, New Jersey
Salary: $120K - $140K Base Salary Full-Time plus $30 -$40K in Bonus
Must come out of the Financial Services Industry
Masters or a PhD in Computer Science, Engineering, Statistics, or related discipline with excellent academic credentials
A Big Plus is Strong knowledge of financial equity data with experience in Bloomberg, Client, Compustat, and CapIQ data
This position is part of our Data Technology team and will help implement, enhance, and manage our quantitative models.
researching, designing, coding, testing, and deploying projects while working in a fast-paced environment and improving proprietary data repository and financial data platforms.
The Quantitative Data Engineer will work closely with quantitative research and portfolio management professionals to implement new ideas.
The successful candidate must possess strong knowledge of financial equity data (e.g., Compustat, Bloomberg, Client), have solid coding skills (in SQL, Python, Julia, and C++), and experience working with large datasets.
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.
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
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, Client, 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
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