Cubist Systematic Strategies is looking to solve the problem of timely delivery of comprehensive and error-free data to support predictive modelling in finance.
Requirements
- Strong programming skills in Python and SQL
- Experience with AWS and Airflow preferred but not required
- Strong organization, communication and interpersonal skills
- Attention to detail and a love of process
- Strong oral and written communication skills
Responsibilities
- Analyzing financial datasets and preparing reports for investment teams
- Creating derived data content and data ingestion pipelines
- Defining and automating qualitative data checks
- Assist with data questions and requests from investment teams
- Creating and maintaining internal documentation on datasets
- Identifying potential data sources
- Engaging with vendors to understand characteristics of datasets
Other
- Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues
- Ability to multitask and prioritize assignments
- Financial industry experience preferred but not required
- Strong organization, communication and interpersonal skills
