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Research Officer

London School of Economics
Contract Type
Fixed Term
competitive and not less than £34,736 pa inclusive of London allowance
Expiry Date
The Centre for the Analysis of Time Series (CATS) focuses on the role of uncertainty in complex and dynamic models and the implications for decision support, in a number of different fields.

Job Description

CATS is seeking a Research Officer to work on a project entitled ‘The risk dynamics of insurance claims disputes’. This is a two-year project in the area of litigation risk, funded jointly by Berrymans Lace Mawer LLP (BLM) and the LSE Knowledge Exchange and Impact fund.


Candidates should have a completed PhD, or be close to obtaining a PhD by the post start date, preferably in Statistics, Mathematics, Econometrics, Operational Research or other social or physical science involving mathematical modelling. In addition to this, they should have experience with statistical and/or mathematical packages such as R, Python and/or Matlab; have the ability to analyse and research complex ideas, concepts or theories and applying appropriate methodologies; evidence of excellent written and oral communication skills; and the ability to communicate complex ideas to both fellow research audiences and less numerate audiences.


The successful applicant will be working closely with the team at BLM and can expect to spend some time at the BLM offices


The LSE offers an occupational pension scheme, generous annual leave and excellent training and development opportunities.


For further information about the post, please see the how to apply document, job description and the person specification.


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 Lyn Grove on  


The closing date for receipt of applications is 13th March 2018 (23.59 UK time). Regrettably, we are unable to accept any late applications.


Interviews are likely to be held on Friday 23 March 2018.