Making a Difference

The State of Wisconsin Investment Board (SWIB), founded in 1951, is a premier global investment organization responsible for managing the more than $178 billion of assets of the fully funded Wisconsin Retirement System (WRS), the State Investment Fund and other state funds. Through SWIB’s effective and innovative investment management, WRS remains one of the only fully funded US public pensions. The WRS consistently ranks among the 10 largest public pension funds in the U.S. SWIB is recognized by the investment industry for our teamwork and innovation. SWIB pursues sophisticated global investment strategies across the asset and risk allocation spectrum. Providers across the investment ecosystem seek to partner with SWIB.

Serving more than 703,000 beneficiaries of the WRS, SWIB is a mission-driven organization focused on providing a strong financial future to those who committed their careers to public service. For public employees and the 1,607 Wisconsin employers who contribute on their behalf, we are a trusted partner. Our team innovates continuously to meet the challenges of an evolving investment landscape while growing and protecting the assets of the WRS.

SWIB provides a strong, steady economic pillar for the state of Wisconsin by growing the trust funds under its management, managing risk, and optimizing costs of the long term. We are a mission-driven organization and the participants we serve are our mission. By bringing a disciplined, prudent, and innovative approach to market opportunities, SWIB has been successful in generating required returns and maintaining the trust of the beneficiaries and stakeholders of the funds we oversee.

Home To Top Talent

Our high-performing staff is key to what makes us a premier investment manager. SWIB is committed to investing in talented professionals to implement our robust, sophisticated investment strategies and to keep the organization at the forefront of the investment industry. We encourage innovation and offer professional development opportunities to help staff sharpen and expand their skills. Approximately 61 percent of SWIB’s investment professionals are Chartered Financial Analyst (CFA) charterholders.

Job Description:

About the Team

The Data Analytics Engineering Team is a growing, client service-oriented team. We are business-centric working closely with the investment management and operational teams to anticipate and meet their complex information and reporting needs for investment decisions regarding the Wisconsin Retirement System. In partnership with Technology, we are transforming SWIB into a premier data driven organization. The ideal team member is someone who has an interest in financial markets and asset management, and thrives in the data landscape in descriptive, diagnostic, and predictive analytics.

Essential activities:

Help develop and manage data quality metrics, procedures, and dashboards.
Proactively manage data by reviewing processes and identifying improvements.
Track data related problems, analyze root causes, research solutions and suggest fixes.
Support the development of an enterprise-wide metadata management repository.
Communicate data related updates to business partners and stakeholders.
Work with front and middle office partners to identify opportunities for improvement.
Assist with documenting procedures and policies as part of the Data Governance model.
Incorporate AI tooling into current workflow processes.
Partner with IT, 3rd party contractors and vendors in data related project initiatives.

The Ideal candidate:

Ability to work in Madison, WI for an approximate 10-week period beginning late May/early June 2027.
Undergraduate student studying Computer Science, Information Technology, Library Sciences, Business, Finance, Data Science, Analytics, or other similar disciplines.
Familiar with version control concepts (Github, Gitlab, AzureDevops)
Familiar with Agile Methodologies and project management (Jira, Azure Dev Ops, Scrum)
Basic knowledge of Microsoft Azure Cloud (SQL Database and Blob Storage).
Familiarity with Data Governance concepts such as Metadata, Data Quality etc.
Basic knowledge of relational databases such as, SQL, Snowflake and SQL language.
Strong analytical and problem-solving skills.
Effective communication skills.
Knowledge of Excel.
Basic understanding of investment management.