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Model Validation Analyst
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2 days ago638 views
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General Details
Description
About The Role/Team:
The Model Validation team provides assurance on the accuracy, robustness and governance of models. The unit plays a central role in supporting sound risk management, financial decision-making and regulatory compliance. Their work spans a variety of domains, including credit risk, finance, capital modelling, and fraud detection. The team collaborates closely with modelling and business units, offering technical challenge and validation expertise to ensure models remain fit-for-purpose in an evolving environment.
Requirements:
The Model Validation team provides assurance on the accuracy, robustness and governance of models. The unit plays a central role in supporting sound risk management, financial decision-making and regulatory compliance. Their work spans a variety of domains, including credit risk, finance, capital modelling, and fraud detection. The team collaborates closely with modelling and business units, offering technical challenge and validation expertise to ensure models remain fit-for-purpose in an evolving environment.
Requirements:
- Proven 3-6 years experience in scorecard building, including developing, validating, and monitoring scorecards for credit risk application/behaviour models or marketing purposes. This experience will be used in the role to challenge models presented to the team and to build challenger models.
- Experience with data mining used for analyses and predictive modelling.
- Full understanding of the credit lifecycle.
- Strong analytical ability, with attention to detail and the ability to work across multiple model types.
- A collaborative mindset with the ability to engage effectively across technical and business teams.
- Minimum: Degree in Mathematics, Statistics, Actuarial Science or Data Science.
- Ideal or Preferred: Honours Degree in Data Science, Statistics, Mathematics or Actuarial Science.
- Clear criminal and credit record
https://www.executiveplacements.com/Jobs/M/Model-Validation-Analyst-1244081-Job-Search-12-02-2025-22-29-56-PM.asp?sid=gumtree
Id Subtitle 1343664683
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Executive Placements
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About The Role/TeamThe Model Validation team is a critical function within the organisation, responsible for ensuring the accuracy, reliability, and governance of models across credit, finance, and fraud risk domains. The unit provides oversight, technical challenge, and assurance to support sound decision-making and regulatory compliance. This role requires strong technical modelling capabilities, the ability to collaborate with a wide range of stakeholders, and the professional maturity to influence outcomes in a complex and evolving environment. What Youll Be DoingProvide subject matter expertise, oversight and guidance with regards to the technical review and validation of models used in the organisation, particularly machine learning models. Ensure appropriate model governance and model risk management processes and standards are in place in order to manage model risk, improve and optimise model methodologies and usage. Lead and deliver independent validations across a range of models, including credit risk, operational optimisation, financial crime, and marketing campaigns. Provide technical oversight and mentorship to analysts, supporting skills development and professional growth. Design and implement challenger models using advanced machine learning methods. Research current and new machine learning algorithms to ensure proposed models are fit for purpose and market best practice is being followed. Ensure models meet governance, regulatory, and internal risk standards. Partner with model development teams and business stakeholders to provide effective challenge and assurance. Contribute to the ongoing enhancement of model validation methodologies, frameworks, and best practices. Requirements6+ years of proven experience in model development in the field of Data Science and ideally direct model validation or review experience. Strong technical expertise in tree-based methods, neural networks, clustering, anomaly detection, and other advanced statistical or machine learning techniques. Exposure to cloud platforms (AWS preferred) and emerging technologies such as large language models is desirable. Demonstrated ability to mentor and guide junior analysts, identifying skills gaps and supporting development. Excellent communication and stakeholder engagement skills, with the ability to work effectively across multiple teams and disciplines. Able to design and deliver end-to-end on all but the most complex ML projects without supervision. Data mining for use in analyses and predictive modelling. Have had own model(s) reviewed and validated or directly validated models in the past. Presenting and defending findings to model developers and senior management. Education
https://www.jobplacements.com/Jobs/L/Lead-Model-Validation-1244260-Job-Search-12-03-2025-04-30-23-AM.asp?sid=gumtree
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