Macroeconomics Analyst, London

Our client is seeking an Analyst to join their Macroeconomics support team in Audit. The role will encompass supporting the delivery of high quality macro-economic analysis:

• Assessment and development of economic scenarios for IFRS9 purposes and stress testing regulatory exercises using macroeconomic and econometric models.
• Enhancement and development of in-house econometric models (statistical, structural economic models) with an understanding of accreditation of these tools for audit use.
• Production of thought leadership highlighting key trends and risks at sector and business level.
• Clear and effective communication about economic concepts and findings to non-economist audiences, verbally and in writing.

Description of the role:

• Gathering and updating economic datasets, and preparing data for analysis and estimation.
• Supporting the enhancement of in-house economic and statistical models.
• Reperforming the model output using model codes developed independently from an entity's documentation and an appropriate software package (R, Python).
• Supporting the development new tools for forecasting macroeconomic variables.
• Writing documentation for quantitative and economic testing in a clear and succinct manner.

Preferred skills, qualifications and experience:

• A minimum of 2 years of engagement within a macroeconomics team/unit at a professional services company, Central Bank, or Think Tank (1 year minimum experience).
• Strong understanding of primary sources of global and UK macroeconomic data sources and data providers.
• Ample experience in data wrangling and cleaning datasets for time series estimation purposes (e.g., data transformation, pre-estimation tests).
• Experience using R and Python for the estimation of time series and structural models such as Dynamic Factor models and Structural VARs.
• Excellent communication skills, both orally and in writing.
• Ability to clearly explain complex economic concepts in clear, simple terms, and apply economic concepts and techniques to real world situations.
• Practical experience developing climate models that effectively incorporate physical and transitions is desirable.