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Scholars Opportunity Fund

Student Analyst Program

Research that becomes a trading strategy

Analysts at SOF build and test systematic strategies under Dr. Jonathan Brogaard. Strategies that hold up in review move on to trading.

Student competition · November 4–6, 2026

SOF Microcap Signal Competition

A hybrid case competition for student teams of 2–3, run on SOF Scholars. Registration is free and closes November 3.

Register your team →

Role

Student Analyst

Focus

Systematic Strategies

Term

Multiple Semesters

Program

What students do

Analysts work in small teams on one strategy at a time. They find the idea, test it on historical data, defend it in review, and keep watching it once it trades.

Idea

An idea worth testing.

Research and Testing

Reviewed before it trades

Analysts build the strategy and test it on historical data. Someone outside the team then tries to break it. It moves on only if the evidence holds up.

Monitoring

Checked against the research

Once a strategy trades, analysts compare its results with what the backtest predicted and flag anything that doesn't match.

Reporting

Regular updates

Analysts write regular updates on how their strategies are performing.

Growth

How responsibility grows

Analysts take on more as they show they can handle it.

Phase 1

First Semester

Learn how the fund researches and tests strategies. Join an existing strategy team with support from returning analysts.

Who We Recruit

Depth over pedigree

We look for students who want to do quantitative research, wherever they study. Our analysts come from finance, math and data science backgrounds. The Student Analyst Program application page shows whether applications are open.

SOF is headquartered in Salt Lake City, and our analysts study at universities around the country. Research here happens in code and in writing, and every strategy is reviewed by someone who didn't build it, so where you study doesn't limit what you can do. We look for students who can take an idea, test it honestly, and drop it when the evidence says to.