SWIB is seeking to transform into a premier data-driven organization by leveraging data science, reporting, and data management to meet the complex information and reporting needs of investment management and operational teams.
Requirements
- Working with large, structured data sets.
- Extensive SQL background.
- Passion for AI/ML.
- Additional technologies may include R, Python, Power BI.
Responsibilities
- Assist in collecting, cleaning, and analyzing large investment and market datasets.
- Support development of predictive models, statistical analyses, and data visualizations to guide investment strategies.
- Collaborate with cross-functional teams, including portfolio managers, to translate business needs into actionable data solutions.
- Participate in research initiatives focused on alternative data, quantitative analytics, and emerging investment technologies.
- Document methodologies, findings, and recommendations.
Other
- Ability to work in Madison, WI for an approximate 10-week period beginning late May/early June 2026.
- Ability to understand results in context (i.e. when does something look wrong).
- Interest in investment management and quantitative finance.
- Background in Agile methodologies.
