Fixed Income Structured Products Intern - Summer 2027

State of Wisconsin Investment Board; Madison (WI); On-site; USD 89,000 - 112,000; Full time

Benefits offered by this job

Professional development opportunities

Job summary

State of Wisconsin Investment Board (SWIB) invites a Summer 2027 Fixed Income Strategies Group intern in Madison. You will gain hands-on exposure to Structured Products and other fixed income instruments, performing financial modeling and security analysis under guided rotation through investment-grade and high-yield teams.

The role emphasizes quantitative analysis, data interpretation, and collaboration across PMs, traders, and research teams, with a focus on learning market dynamics and risk

Qualifications

• Undergraduate or graduate student pursuing a quantitative degree.
• Strong understanding of fixed income concepts and terminology.
• Proficiency in Excel; programming experience is a plus.

Responsibilities

• Conduct security level analysis across Structured Products (agency and non‑agency MBS, CMBS, ABS, CLO).
• Develop and maintain financial models (cash flows, credit metrics) to support investments.
• Participate in investment process: idea generation, due diligence, portfolio monitoring, risk management.
• Collaborate with Portfolio Managers, Traders and Research on top-down and bottom-up analysis.
• Shadow trading desk to gain practical insights into execution.

Skills

Fixed Income

Structured Products analysis

Excel proficiency

Programming knowledge

Bloomberg experience

Education

Undergrad/Grad in quantitative field

Tools

Bloomberg Terminal

Aladdin

Yield Book

SQL

Job description

State of Wisconsin Investment Board (SWIB) invites a Summer 2027 Fixed Income Strategies Group intern in Madison. You will gain hands-on exposure to Structured Products and other fixed income instruments, performing financial modeling and security analysis under guided rotation through investment-grade and high-yield teams.

The role emphasizes quantitative analysis, data interpretation, and collaboration across PMs, traders, and research teams, with a focus on learning market dynamics and risk