Fancy joining one of the world's most prominent activist funds?
You'll be working within a tight-knit group that operates in unison to build a highly complex, data-intensive model designed to generate increasingly accurate and reliable predictions. These predictions will be used by traders to gain specific market advantages. This position is fundamentally data-focused, so you'll need to leverage your software and data engineering skills to be successful.
In joining this team, you'll work closely with analysts and quantitative researchers, making this an incredibly cross-functional role that will give you plenty of exposure to different tools and technologies. The key is understanding the analysts' modeling requirements so that you can ensure scalability and reliability. It's important that you're confident in your ability to work effectively with quantitative researchers and other stakeholders to translate their needs into effective technical solutions.
Your core responsibilities will include developing and optimizing robust data pipelines, implementing data quality protocols, and selecting the appropriate data engineering tools and technologies to assist analysts in building the model(s).
You'll need to have solid experience in designing data pipelines, data modeling, ETL processes, data warehousing, and data governance. In terms of programming languages, top-notch skills in Python are essential, though proficiency in Golang or C++ is also desirable. Additionally, recent experience with CI/CD tools like Kubernetes, Helm, or GitHub Actions and data warehousing technologies such as Snowflake, S3, or ClickHouse is important.
This is a hybrid role based in New York, specifically Midtown Manhattan, with a pay rate of up to $135 per hour.
Want to work for one of the world's largest activist funds? Apply today.
No up-to-date CV required
