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 (adrien.davernas@hhs.se), 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:
Type of employment | Temporary position |
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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 |
Full-time equivalent | 100% |
City | Stockholm |
County | Stockholms län |
Country | Sweden |
Reference number | 2021/32 |
Contact |
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Published | 27.Apr.2021 |
Last application date | 18.May.2021 11:59 PM CEST |