Primary Responsibilities
- Develop and maintain tools to support our core asset trading and portfolio analysis processes
- Build tools to analyze new investment strategies and expand our robust simulation tools
- Assist in development of tools to streamline the creation of data association mappings between disparate data sets
- Research new data source possibilities and test the integration of the new sources with our existing tools
- Support team needs with ad hoc data research
- Spearhead data cleaning, organization and analysis
- Lead architectural design initiatives for the data and computing needs of the firm, focusing on solutions that seamlessly integrate our technology stack
Abilities
- Highly driven individual that works well in collaborative and independent environments
- Ability to ingest, clean and validate large data sets
- Exceptionally adaptable with new skills and technologies
- Experience with market and investment data as well as APIs is a plus (via Bloomberg, CRB, Datastream, Refinitiv, LSEG, etc.)
Preferred Tech Stack
- Operating System: Linux, Debian/Ubuntu
- Language: Python3
- Packages: Numpy, Pandas, Flask
- Database: Mongo DB, PostgreSQL
- Viz: Plotly Dash, Django
Applicable Experience
- Bachelor's degree in computer science or related field/similar level of education and experience
- 7+ years of experience in a pivotal Software/Data Engineering role, with deep exposure to modern data stacks
- Experience with performing data analysis, data ingestion and data integration
