Point72's Platform Team is looking to solve the problem of enabling investment professionals to effortlessly extract insights from large, complex, compliance-approved structured and unstructured data sets by designing and building robust end-to-end data pipelines and tools.
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
- Work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end data pipelines and tools that that help extract the most value out of P72’s data assets
- Develop and support big data processing pipelines including but not limited to ingestion, transformation, and end-customer delivery
- Build out cloud-based infrastructure using distributed techniques for other data engineers/data scientists/researchers
- Be 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
- Build and support visualization and exploration capabilities around our big data sets
Other
- Commitment of 40 hours weekly from January-April 2025 onsite at our office in New York, NY
- Recent graduation from or current enrollment in a Bachelor’s or Master’s degree program
- 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
