Research Assistant to the Department of Finance

Department of Finance

You would contribute to a project on developing a Python machine learning toolbox on google cloud. Your role would consist of managing large amounts of data and programming economic and statistical models in Python.

We want you: a recent academic graduate, or about to graduate, with a focus on (financial) mathematics, mathematical finance, (mathematical) statistics or an equivalent degree that includes a significant share of programming. We want you to have advanced data cleaning and programming skills.

As a person, you are analytical, independent and eager to acquire new knowledge. Since you will work with multiple researchers at the Swedish House of Finance, the position requires you to be service-minded and cooperative. Since the work is largely about programming and advanced data management, it is also important that you are structured, accurate and persistent.

We offer challenging tasks in a highly topical field of asset pricing research. With us, you get knowledgeable and committed colleagues and a great opportunity to learn about economics and financial research. The position as a research assistant has previously proven to be valuable for further (inter)national PhD studies in Statistics, Finance and Economics. The position is a fixed-term full-time employment of approximately one year. However, the terms are very flexible and negotiable (could be part-time, for as little as 3 months, or extended to two years).

We accept application on a continuing basis and the ad may close before the last application day. If you have questions, please contact Adrien d’Avernas (, Assistant Professor of Finance at the Swedish House of Finance.

Desired start date is around the Summer 2021, but both an earlier and a later start is possible.

You can apply for the position by uploading your application to the recruitment system "Varbi". Please include following attachments:

  • Brief motivation (max 500 characters) in your email
  • CV and programming skills
  • Current grades from your university

About the Stockholm School of Economics

Type of employment Temporary position longer than 6 months
Contract type Full time
First day of employment Desired start date is around Summer 2021, but both an earlier and a later start is possible
Salary According to agreement
Number of positions 1
Working hours 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number 2021/32
  • Adrien D'Avernas,
  • For HR related questions: Linda Tarmet,
Published 27.Apr.2021
Last application date 18.May.2021 11:59 PM CET