State of Wisconsin Investment Board · 17 hours ago
Data Scientist
Madison Wisconsin
Full-time
Hybrid
Entry Level
1+ years expThe State of Wisconsin Investment Board (SWIB) manages over $162 billion in assets and is seeking a Data Scientist to support data-driven decision-making. The role involves utilizing programming languages and AI techniques to enhance data analysis, while ensuring data quality and effective communication of findings.
Asset ManagementFinanceWealth Management
No H1B
Responsibilities
Enable data-driven decision-making through innovative analytical solutions and models
Convey complex data concepts to technical and non-technical stakeholders
Utilize programming languages such as Python and SQL for data manipulation, analysis, and model development
Apply artificial intelligence and machine learning techniques to enhance data analysis, predictive modeling, and decision-making
Act as a liaison between investment personnel and the supporting infrastructure regarding business process change management (IT, Operations, Legal, HR, Strategic Planning, etc.)
Implements data quality frameworks and conducting data validation ensuring accuracy of analysis
Develop and deploy models, utilizing techniques such as regression, classification, and clustering
Create interactive visualizations (e.g. Power BI, Streamlit) to effectively communicate data findings
Deploy data solutions in cloud environments (e.g. Azure, AWS)
Utilize data warehousing technologies and platforms (e.g. Snowflake) to support analytics initiatives
Qualification
Required
Bachelor's degree or advanced degree in finance, business, engineering, computer science, computational economics, math, data science or a related program
1+ years of experience with data science, data analytics, investment analysis, or similar
Proactively drives data-driven decision-making through innovative analytical solutions and models
Exceptional verbal and written communication skills, adept at conveying complex data concepts to technical and non-technical stakeholders
Proficient in programming languages such as Python, SQL, or R for data manipulation, analysis, and model development
Experience applying artificial intelligence and machine learning techniques to enhance data analysis, predictive modeling, and decision-making
Experience implementing data quality frameworks and conducting data validation ensuring accuracy of analysis
Skilled in developing and deploying machine learning models, utilizing techniques such as regression, classification, and clustering
Knowledge of cloud platforms (e.g. Azure, AWS) for data storage and processing, with experience in deploying data solutions in cloud environments
Experience with data warehousing technologies and platforms (e.g. Snowflake) to support analytics initiatives
Experience deploying reports utilizing automated processes Continuous Integration and Continuous Deployment techniques (CICD)
Experience implementing testing tools and data quality metrics/processes to ensure overall data quality of reports that are supported and developed
Superb work ethic, attention to detail, team orientation, collaborative disposition, and commitment to excellence
Ability to follow rigor in creating/updating documentation, maintain process (i.e. JIRA tickets) and following technology and business best practices
Preferred
Interest or experience in investment management, quantitative finance and technology
Progress toward or completion of the CFA designation is preferred
Benefits
Competitive total cash compensation, based on AON (formerly McLagan) industry benchmarks
Comprehensive benefits package
Educational and training opportunities
Tuition reimbursement
Challenging work in a professional environment
Hybrid work environment
Company
State of Wisconsin Investment Board
SWIB's investments are managed by its own professional staff and by outside money manager firms.
201-500 employees
Funding
Current Stage
Growth StageLeadership Team
David Villa
Executive Director & Chief Investment Officer
Recent News
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2025-11-12
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