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.
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