Master thesis - Degree work
Are you in the final stages of a mathematical or engineering program and have a strong interest in the financial markets? We are offering an opportunity for students do their degree work with us.
About the job
Are you in the final stages of a mathematical or engineering program and have a strong interest in the financial markets?
Lynx is offering an opportunity for ambitious students to do their degree work with us during a spring semester.
Lynx Asset Management is a quantitative hedge fund based in Stockholm. We apply scientific methods to create systematic investment strategies aimed at providing our clients with high risk-adjusted returns and attractive portfolio properties. Innovation has been part of our DNA since we started in 1999. At Lynx, we have managed to create a workplace where academic methods and a relentless focus on results are nourished by a friendly, collegial culture. The wellbeing of our employees is especially important to us as they are the ones who make us successful. Lynx actively strives towards being an inclusive workplace and we see diversity as a prerequisite for future success.
For the spring semester 2026 we offer two different project opportunities: (a) Feature and portfolio bagging, and (b) Market impact-aware optimal trading for intraday models. Summaries for these projects are found at here and here (opens in new tab). All work will be done at Lynx's office in central Stockholm.
Please attach cover letter, CV and grading certificate in PDF format, and indicate which project of the two offered that you prefer.
If two students intend to apply as a pair, please submit two separate applications, each with CV and transcript of grades, but state clearly your intent – and with whom you are applying – in each of them.
The deadline for applications is November 3rd.
- Team
- Research
- Locations
- Stockholm
About Lynx Asset Management
Lynx Asset Management was founded in Stockholm in 1999. Our goal is to provide clients with high risk-adjusted returns using systematic investment strategies, developed through scientific methods utilizing data, analysis and technology.
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