Sobre este puesto de Systematic Multi-Strategy Intern en State of Wisconsin Investment Board
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.
Job Description:
About the Team
The Multi-strategy team was launched in 2015 and manages SWIB’s internal Multi-Strat portfolio. The Multi-Strategy team manages multiple fundamental and systematic long/short strategies.
Essential activities:
- Assist with developing trading signals/tools for the Multi-strategy investment platform. This could include developing asset pricing models within or across equities, bonds, currencies, and/or commodities utilizing cash and/or derivatives.
- Document and present research results.
- Assist with developing a risk budgeting and performance appraisal framework for implemented strategies.
- Develop code in Python. Build database tables and interfaces as required for streaming research.
- Specialized projects as assigned.
The Ideal candidate:
- Ability to work in Madison, WI for an approximate 10-week period beginning late May/early June 2027.
- Graduate student pursuing a Finance, Statistics, Math, Physics, Engineering or related degree with an interest in quantitative/systematic investment.
- Programming experience in Python.
- Experience analyzing large data sets using statistical methods, machine learning and agentic AI tools.
- Ability and desire to work as part of a team as well as conduct independent research.
- Ability to present ideas clearly and articulately.
