Daniel Holdsworth

View Profile

Apply Now

Credit Risk Analyst

Ref #: grdsg43353
Daniel Holdsworth 03/04/2023
Salary: DOE £
Type: Permanent
Date: 03/04/2023
Credit Risk Analyst

Credit Risk Analyst

Client:

They might be new to the UK, but they are part of a larger banking group with nearly 150 years of banking history. Their leadership team includes highly experienced banking professionals who have decades of experience within the UK bank and building society sectors.

Role

This new role, integral to the Consumer Lending Team, is responsible for producing analytics to develop and deliver impairment figures, credit risk reporting and modelling.

You will:

  • Produce Provision and Impairment forecasts for quarterlies, budgets etc
  • Build PD, LGD, EAD and macro-economic forecasts for the bank for IFRS9 purposes
  • Compile and produce management reports with relation to Provisions and Impairment Forecasts
  • Drive understanding of impairment movement levers which will in turn inform the improvement of the IFRS9 based impairment methodology
  • Deep dive into forecasting numbers and perform trend analysis to understand the Impairment and Provisioning data and produce insights on same
  • Communicate analysis and findings with senior management and internal teams
  • Data extraction (and automation) for model development, validation, and monitoring
  • Completing regular reporting to drive insight into portfolio performance

You will have:

  • Experience working in an impairment role or developing IFRS9 models is essential
  • You have a strong working knowledge of impairments / provisions within retail banking. Experience of developing, validating, or monitoring Credit Models is highly desirable
  • Strong academic background with minimum classification of 2:1 in a highly numerate, scientific or computer science discipline
  • Proficiency in data extraction and manipulation using SQL and R or Python to perform statistical analysis
  • Ability to use intermediate/advanced SAS/R to perform predictive analytics to determine key characteristics useful for use in loan acceptance rulesets
  • Analytical Mindset with a problem-solving initiative
  • Change experience (system/strategy testing or creating new reports, models and code base from scratch)
  • Excellent communication skills with the ability to express technical ideas to a non-technical audience
  • Information sponge – ability to remember fine detail and high desire to learn
  • Effective management of own time/stakeholders
  • At least one year of experience in modelling

Keywords: Credit Risk Analyst, Credit Risk, Credit Analyst, Risk Analyst, SQL, Python, IFRS9, modelling

Back to Jobs

Apply Now