Point72 is looking to leverage data-driven solutions and analyses to drive its long/short equity investing strategy.
Requirements
- Strong proficiency in SQL and Python (with an emphasis on Pandas, PySpark, etc.)
- Experience with cloud platforms, Terraform, CI/CD pipelines & Git, Linux, Airflow, Databricks, Spark
- Experience with data visualization tools and libraries such as Tableau and matplotlib/seaborn
- Understanding of data warehousing concepts and experience with databases (e.g. PostgreSQL)
- Experience with data engineering and software development
- Strong analytical skills and the ability to adapt to a rapidly changing environment
- Experience with data integration and processing
Responsibilities
- Develop cross-sector quantitative insights to aid in generating investment ideas
- Create tools and infrastructure to support and enhance the team’s quantitative efforts
- Maintain and enhance the current codebase and productionize processes
- Integrate and process Compliance-approved datasets
- Leverage technologies such as Spark, Terraform, and Airflow in projects
- Employ programming languages like Python and SQL to build robust data solutions
- Work alongside senior data scientists to develop 'quantamental' strategies
Other
- A bachelor's degree in computer science, engineering, or a related technical field, or equivalent practical experience
- Minimum 2 years experience in an engineering role or similar position
- A commitment to upholding the highest ethical standards
- Strong analytical skills and the ability to adapt to a rapidly changing environment
