Contract / Up to £30000 per annum
Econometrician/Statistician, 3 month FTC, £30,000 pro rata, London/Hybrid
We are looking for a skilled econometrician to lead the development, refinement, and ongoing maintenance of our proprietary wealth sizing model. The ideal candidate will possess a deep knowledge of regression methodologies and statistical distributions and will be adept at research and data sourcing to identify and extract relevant global statistics at the national level. The applicant must also be comfortable with research and data sourcing approaches to identify and locate relevant statistics globally at a national level.
Based in our Central London office, you will play a key role helping to maintain its position providing key insights on global wealth patterns for our partners and clients across our global network.
This position reports to the Head of Data Science on a short-term contract. We seek someone with strong experience in building inferential models, distinct from machine-learning methods, who can work independently.
Operating environment
1. The role is based within the Research Analytics Department in wider Global Research Sub-Division
2. Day-to-day management will be undertaken by the Head of Data Science with direction provided by our Global Head of Research.
3. The role is focussed specifically on the delivery of research projects for the Wealth Report
The role – technical specifications
4. Working with technical colleagues in the wider Research team, specifically those in Analytics (Data Science, Data Engineering, Geospatial and Innovation) to perform econometric analysis on global wealth sizing
5. Ability to independently locate and source relevant information from national data sources
6. Ability to manipulate, cleanse and analyse complex data, including of key external and proprietary databases
7. Preparation of regular outputs for internal stakeholders, including data books and dashboards, to communicate key findings clearly
Experience
8. Relevant university degree
9. At least 2 years of relevant experience
10. Extensive econometric/statistical knowledge, with a focus on inferential modelling and statistical distributions.
11. We expect you to be able to work with economic factors, such as Gini coefficients and Lorenz curves
12. Problem-solving skills
13. Demonstrable capability to ensure accuracy in manipulating, analysing, and presenting data, with excellent attention to detail
14. Knowledge of python or R essential
15. Personal skills suited to working within a professional yet friendly and dynamic team environment
16. Self-motivated with the ability to work independently on projects
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