Hybrid Model Validation Specialist - FinServ Risk & Analytics

Leeds Building Society

Newcastle upon Tyne

Hybrid

GBP 65,000 - 90,000

Full time

6 days ago
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Benefits offered by this job

Hybrid working - 2 days per week in an
Annual bonus up to 12%
Matched pension contributions up to 10
26 days holiday plus holidays
Colleague Mortgage and Saver products
2 days volunteering per year

Job summary

Leeds Building Society is seeking a Model Validation Specialist to support independent validation of financial models and deterministic methods. You will assess model design, data, assumptions, implementation and outputs, and communicate conclusions to stakeholders.

You will work with the Model Validation Lead and cross-functional teams, applying Python and other tools, while contributing to risk management and regulatory alignment. This role offers hybrid working and opportunities for growth.

Qualifications

  • Experience of model validation and/or model development within financial services.
  • Knowledge of model classes such as residential mortgage IRB models, scorecards, IFRS 9.
  • Strong numerical and analytical skills.
  • Programming and data-handling experience using Python, SQL, SAS, or R.
  • Ability to explain technical issues to stakeholders clearly and succinctly.
  • Organised, rigorous approach with commitment to quality.

Responsibilities

  • Deliver independent validation reviews of key models and deterministic quantitative methods.
  • Prepare clear review documentation and committee materials.
  • Support the model risk management framework and regulatory compliance.
  • Collaborate across Prudential Risk, Risk, Finance and Internal Audit.
  • Keep abreast of regulatory developments and industry best practice.

Skills

Model validation
Financial risk models
Python
SQL
SAS
R
Analytical skills

Tools

Python
SQL
SAS
R

Job description

Leeds Building Society is seeking a Model Validation Specialist to support independent validation of financial models and deterministic methods. You will assess model design, data, assumptions, implementation and outputs, and communicate conclusions to stakeholders.

You will work with the Model Validation Lead and cross-functional teams, applying Python and other tools, while contributing to risk management and regulatory alignment. This role offers hybrid working and opportunities for growth.

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