Point72's Proprietary Research team needs to design and build solutions that enable investment professionals to effortlessly extract insights from large, complex, compliance-approved structured and unstructured data sets.
Requirements
- Experience or demonstrated interest in big data technologies
- Solid understanding of computer science fundamentals (data structures, algorithms, etc.)
- Strong experience in Python development
- Interest in working with data and big data problems and technologies, such as Spark and Scala
- Ability to devise novel and innovative solutions to challenges
- Knowledge of/experience with graph databases is a plus
Responsibilities
- Working closely with investment professionals, researchers, and data scientists to assist in the design, build, and launch robust end-to-end data pipelines and tools that that help extract the most value out of Point72’s data assets
- Assisting in the development and support of big data processing pipelines including but not limited to ingestion, transformation, and end-customer delivery
- Participating in the build out of cloud-based infrastructure using distributed techniques for other data engineers/data scientists/researchers
- Being at the forefront of new technology developments with respect to the handling and processing of big data and conduct proof-of-concept evaluations of new technologies
- Partnering with internal teams as they build and support visualization and exploration capabilities around our big data sets
Other
- Excellent attention to detail, organization, and project management skills
- Superb business intuition and a solution-oriented, methodological approach to problem solving
- Ability to collaborate and build relationships across multiple business units within the firm
- People who “elevate the room” through their work ethic, curiosity, and attitude
- Adherence to the highest ethical standards and working closely with the firm’s Compliance team
