- Required: Proficiency with Python, Pandas and MS SQL programming, embedded visualization, charting, graphing, statistics
- Preferred: Familiar with the financial industry, financial instruments and the management/operational functions of a quantitative asset manager
- Prior experience with Data Governance projects, concepts of data quality, creating data quality sensors
Responsibilities- Develop custom Python packages to help all parts of our firm connect to various data sources; provide convenient methods of joining and transforming data in ways common to our workflow
- Automate data pipelines
- Deploy predictive models and reports into production
Education: Degree (BS, MS, or PhD) in Computer Science, Electrical and Computer Engineering, Software Engineering, or Information Systems preferred; any STEM BS, MS or PhD with appropriate work experience will be considered.
Experience:- 5+ years of professional Python software design and development preferred
- 2+ years administering an open source database (MySQL)
- 2+ years writing stored procedures against SLEs
Technical Skills: - Expert-level Python programming
- Test-driven development
- Monitoring systems and data pipelines
- Proficient with the following Python package: Pandas
- Linux server administration
- SQL
Additional Knowledge, Skills and Abilities:- Ability to design Python software from scratch for net new functionality or extended existing functionality
- Desire to automate everything
- Good communication skills
- Independent and self-driven worker
- Creative problem solver
