Internship 2026
Submit your application and resume

If you are passionate about mathematics and solving complex problems. Submit your work, meet our team, and let’s see
if we’re right for each other.

Build Your Edge

Teza is seeking aspiring quantitative researchers for our 10-12 week summer internship program (June through August 2026) across our London, Munich, and Yerevan offices.

To apply, you will submit a trading idea. This serves as your application – it demonstrates how you think about markets, how you approach research, and helps us match you to the right investment group at Teza. You may work on this idea during your internship, or you may work on something entirely different alongside our teams. What matters is the quality of thinking it reveals as well as your passion about quantitative trading. 

In late July, all interns convene in Germany for our week-long global investment conference – an intensive forum where our teams worldwide present research, debate markets, and advance our collective understanding of quantitative trading. 

Conference venue is located on the shores of the famous Lake Starnberg.

What You’ll Gain

An environment built for people who enjoy solving hard problems.

Experience
Markets as a mathematical system

Treat markets as noisy, high-dimensional systems. Model them, simulate outcomes, stress assumptions, and reason under uncertainty using real data.

Mentorship
Work with quantitative practitioners

Work with researchers and engineers who design real trading systems. Learn how professionals think about data, constraints, and decision making.

Projects
From idea to algorithm implementation

Turn concepts into signals, models, and backtests. Measure performance, improve robustness, and prepare systems for real deployment.

What We're Looking For

We seek applications from either individuals or even small teams who can formulate and articulate a concrete trading hypothesis. Your application should demonstrate technical capability, market intuition, and intellectual rigor.
Asset Classes:
Focus Areas:
If your idea doesn't fit neatly into these categories, tell us anyway. We want to see how you think.

You do not need prior trading experience. You need strong programming skills, quantitative reasoning ability, capacity to communicate your thinking clearly, and strong desire to succeed in quantitative trading.

Selection Process

01
Application submission
Research proposal deadline is April 15, 2026, however early applications are encouraged
02
Investment team review
Proposals evaluated for market logic, technical feasibility, and research potential
03
Interview stage
Selected candidates meet with Teza team (three-round process)
04
Decision
Final confirmations sent within weeks of submission

Program Structure

Duration of the program

10-12 weeks (June through August 2026)

Locations

London, Munich, or Yerevan (you select)

Compen­sation

Paid internship

Investment Conference

One week in late July: all travel, accommodation, and expenses covered by Teza

You will work embedded within one of our investment groups, conducting quantitative research alongside portfolio managers and researchers. The work may relate to your application idea or may be determined by the team's current research priorities.

During the Munich conference, you will

Logistics

Visa & Travel Support

We provide full support for the Munich conference (visa assistance, flights, accommodation). For your primary office location, you are responsible for all arrangements.

Team Applications

Teams welcome (maximum 4 members). Each participant must
have a clearly defined role and contribution.

Prior Experience

No algorithmic trading experience required. We seek strong analytical and programming skills, intellectual curiosity, and conviction in markets.

Requirements

Technical Foundation
Language

Why This Matters

Most learning in this field doesn’t come from textbooks. It comes from working on hard problems with people who have solved them before. We provide the infrastructure, the data, the mentorship, and the intellectual environment. You bring the raw capability and the willingness to learn.

Have More Questions?

Get in touch with our team directly.

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