Skills

Python Data Engineering Problem-solving Research Attention to detail Regression Databases Analytics Data Science

Job Specifications

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

The role is based within the Research Analytics Department in wider Global Research Sub-Division
Day-to-day management will be undertaken by the Head of Data Science with direction provided by our Global Head of Research.
The role is focussed specifically on the delivery of research projects for the Wealth Report

The role - technical specifications

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
Ability to independently locate and source relevant information from national data sources
Ability to manipulate, cleanse and analyse complex data, including of key external and proprietary databases
Preparation of regular outputs for internal stakeholders, including data books and dashboards, to communicate key findings clearly

Experience

Relevant university degree
At least 2 years of relevant experience
Extensive econometric/statistical knowledge, with a focus on inferential modelling and statistical distributions.
We expect you to be able to work with economic factors, such as Gini coefficients and Lorenz curves
Problem-solving skills
Demonstrable capability to ensure accuracy in manipulating, analysing, and presenting data, with excellent attention to detail
Knowledge of python or R essential
Personal skills suited to working within a professional yet friendly and dynamic team environment
Self-motivated with the ability to work independently on projects