Applications are invited for the position of Research Officer (Data Expert), to assist Dr Jon Danielsson and Dr Jean-Pierre Zigrand, the directors of the Systemic Risk Centre, in the programme of research attached to the ESRC Centre grant.
You should have a Bachelor’s degree in economics, finance, statistics, data science, mathematics or in a related discipline.
You should be able to demonstrate a good knowledge of R and Python programming, statistics, and SQL databases. You will have good quantitative research and be able to contribute to publications in top quality peer-reviewed journals. You should also have excellent written and oral communication skills.
The job involves working with data on exotic derivatives and liaise with the data vendor. It is not expected that you know anything about derivatives, but we do expect you have the background to learn the necessary skills and so become an expert by the time the post ends.
For further information about the Systemic Risk Centre, please visit our website www.systemicrisk.ac.uk.
Salary from £36,647 to £44,140 pa inclusive with potential to progress to £47,456 pa inclusive. This is a fixed term appointment for two years.
We offer an occupational pension scheme, generous annual leave and excellent training and development opportunities.
For further information about the post, job description and person specification, please visit the LSE Jobs site.
The full-time position is available from 1st June 2020. It is highly desirable that candidates are available part-time from March/April 2020 for the purpose of induction. The hours and start date are negotiable.
To apply for this post, please go to www.lse.ac.uk/LSEJobs. If you have any technical queries with applying on the online system, please use the “contact us” links at the bottom of the LSE Jobs page. Should you have any queries about the role, please email j.danielsson@lse.ac.uk.
The closing date for receipt of applications is 27 January 2020 (23.59 UK time). Regrettably, we are unable to accept any late applications.
