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Credit Risk Analyst (Modelling)

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Credit Risk Analyst (Modelling)

  • Homer Road, Solihull

Business Area: Risk & Compliance– Credit Risk


Brief description

This role is an exciting opportunity to join the Risk & Compliance Division as a Credit Risk Analyst. If you have excellent analytical skills, a degree in mathematics or statistics and are keen to be part of our team, then we would like to hear from you.

Purpose of the role

Contribute to the work of Credit Risk Management by supporting in the development, analysis, validation, implementation and monitoring of Credit Risk Scorecards and PD models.

Duties & responsibilities
Skills
  • Supporting in the development of Credit Risk Application and Behaviour Scorecards that will be used throughout the account lifecycle, from application stage through to collections.
  • Supporting in the development of the Probability default models as required under the IRB and/or IFRS9 frameworks.
  • Supporting in the documentation of the models.
  • Specifying, implementing and maintaining databases in support of the model development and monitoring.
  • Performing detailed and well documented analyses to support the development of the models.
  • Monitoring and investigating data integrity issues for all the data elements used within the modelling and live production of the model outputs.
  • Validating modelling and analytical results, ensuring accuracy and sensitivity of findings.
  • Supporting the implementation of the models into the live environment in a manner that is consistent with the development objectives, ensuring 100% accuracy and timeliness of the calculation of the outputs.
  • Creating and producing the regular monitoring of the stability, integrity and effectiveness of the models, highlighting adverse changes and proposing remedial action plans.
  • Timely production of the full suite of monitoring reports required as part of the model governance framework.
  • Ensuring data integrity, documentation, validation, stability and controls are in place for all data elements used within the modelling and live production of the model outputs.
  • Providing support as needed by the Modelling Manager.

The individual must have:

  • Good knowledge and understanding of general statistical modelling (Logistic and Linear Regression, Scorecard development, Reject Inference) and related stats (Gini, information value, K statistic, R squared, population stability etc.).
  • Degree level education (min 2:1) in mathematics, statistics or equivalent.
  • Excellent verbal and written communication skills.
  • Ability to work independently and, at the same time, support the wider project team as needed.

Preferable to have:

  • Modelling experience using SPSS or SAS.

Qualifications and experience

Educated to degree level (mathematics, statistics or related subject), 2.1 or above.

Working hours

37.5 hours per week, Monday to Friday, 8.30am to 5.00pm (one hour for lunch).

Training

Relevant training will be provided.

Paragon Banking Group PLC.  Registered in England number 2336032.  Registered office 51 Homer Road, Solihull, West Midlands  B91 3QJ.


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