Retail Credit Risk Model Strategy Analyst - Northampton Retail Credit Risk Model Strategy Analyst -  …

Morgan McKinley
in Northampton, England, United Kingdom
Permanent, Full time
Be the first to apply
Competitive
Morgan McKinley
in Northampton, England, United Kingdom
Permanent, Full time
Be the first to apply
Competitive
Retail Credit Risk Model Strategy Analyst - Northampton
Job Summary
  • Northampton
  • Permanent
  • BBBH796538
  • Oct 19, 2021
  • Competitive

Job Description
Global banking institution seeks an AVP level Credit Risk Model Strategy Analyst will help investigate our exposure to different kinds of credit risk, our resilience in times of market stress

As a Credit Risk Strategy Analyst you will help investigate our exposure to different kinds of credit risk, our resilience in times of market stress and propose frameworks and/or activities to model these. You will also help to determine when we choose to decommission or replace existing models, develop new models, or extend our modelling toolset to cover new deals, new products and new use cases.

What will you be doing?
* Managing pipeline of models to ensure our risk management and risk measurements frameworks continue to be effective and powerful
* Planning ahead to anticipate the evolution of regulatory and commercial practices, consumer credit products, data sources, and modelling techniques
* You will help manage data sources to support correct execution of existing model suite and development of new models
* Managing issues and incidents in models execute and data provisioning; identify problems, assess impacts, propose solutions, and work with stakeholders and implementation teams to solve them
* You may use models to support accurate and timely measurement of capital and risk weighted assets for the business, and identify where adjustments to model outputs are necessary
* You will monitor and analyse portfolio and model performance to inform decision making
* You will combine big data analysis with understanding of portfolio specific issues to enhance model power
* Working with large datasets, looking to understand what information is effective at predicting different customer risk behaviours

What we're looking for:
* Experience working with databases (e.g. via SQL or SAS) and using SAS for data analysis and mining tools on large datasets
* Ability to effectively use Excel to quickly and accurately analyse results (e.g. familiar with the following: pivot tables, conditional formatting, inbuilt function, array formulae)
* An excellent grasp of statistical techniques (e.g. measurements of mean and variance, design of experiments, multivariate regression, and logistic regression)
* Ability to identify key numerical concepts relating to consumer lending, and formulate them into simultaneous equations and then solve them

Skills that will help you in the role:
* Being effective at communicating within your peer-group and upwards (e.g. summarising the results of your analysis succinctly to senior stakeholders and peers)
* Advanced mathematical and statistical skills such as familiarity with neural network models, "deep learning", stochastic models, tree networks, etc.
* Being enthusiastic and effective when it comes to turning your insight into action
* Having a functional understanding of how a consumer lending product functions and how the customer behaviour impacts key risk parts of the P&L and balance sheet

Morgan McKinley is acting as an Employment Agency and references to pay rates are indicative.

BY APPLYING FOR THIS ROLE YOU ARE AGREEING TO OUR TERMS OF SERVICE WHICH TOGETHER WITH OUR PRIVACY STATEMENT GOVERN YOUR USE OF MORGAN MCKINLEY SERVICES.

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