Model Risk & Validation Analyst | Independent Reviews & Validation

Lloyds Banking Group

Halifax

Hybrid

GBP 75,000 - 100,000

Full time

11 days ago
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Benefits offered by this job

Generous pension
Annual bonus
Share schemes
Wellbeing initiatives
Parental leave
Holiday entitlement

Job summary

Lloyds Banking Group is seeking a skilled professional for the Model Risk Office to conduct independent model reviews and technical validations across a broad range of regulatory and non-regulatory models in Retail and Commercial divisions.

You will assess models through their lifecycle, contribute to governance, and communicate findings clearly to senior stakeholders, helping to strengthen risk frameworks and decision-making across the Group.

Qualifications

  • Degree-level qualification covering quantitative content such as mathematics, physics or similar.
  • Experience of model development techniques and programming in Python, R, SAS or C/C++.
  • Understanding of modelling and validation principles including regulatory requirements.

Responsibilities

  • Assess models across their lifecycle, including new developments, changes, validations and monitoring.
  • Deliver independent model validations, including recoding, software development, challenger modelling and mathematical techniques.
  • Review and challenge model development activities: data profiling, validation, back-testing, stress testing, documentation and projects.

Skills

Numerate degree
Modelling techniques
Programming: Python/R/SAS/C/C++
Model validation
Communication & stakeholder influence

Education

Mathematics or Physics degree

Tools

SAS
Python
R
C/C++

Job description

Lloyds Banking Group is seeking a skilled professional for the Model Risk Office to conduct independent model reviews and technical validations across a broad range of regulatory and non-regulatory models in Retail and Commercial divisions.

You will assess models through their lifecycle, contribute to governance, and communicate findings clearly to senior stakeholders, helping to strengthen risk frameworks and decision-making across the Group.

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