4 of 4 Model Validation Jobs in Edinburgh

Join us as aModel RiskManager In this keyrole, you’ll undertake the validation of derivative pricing modelsand ensure that models are managed within the requirements of thebank’s model risk policy and riskappetite You’ll ensure … model limitations areidentified, communicated to stakeholders and effectivelymitigated We’ll look to you to help develop,maintain and implement proportionate mandatory procedures for modelvalidation activity You’ll gain great exposurefor you and your work, with the opportunity to develop keyrelationships with colleagues across Risk and NatWestMarkets Whatyou'lldo As … aModel Risk Manager your main role will be the validation and reviewof models used within NatWest Markets to help ensure the bank’smodels are managed within policy and appetite. By conductingthorough quantitative analysis, you’ll assess their performance androbustness. You’ll preparecomprehensive validation reports and documentation, supporting thedelivery More ❯

Join us as aModel Risk Validation Officer in Traded RiskModels This is anopportunity for a passionate and driven risk specialist to join ourbusiness We’ll look to you to help review andvalidate traded risk and pricing models supporting all businessunits and legal entities. It's an ideal role togain … detailed exposure to the developing world of model risk, aswell as to a range of stakeholders and seniorexecutives Whatyou'll do As a ModelRisk Validation Officer, you’ll be undertaking quantitative andqualitative analysis to make sure that the model risks areadequately highlighted. We’ll look to you … to review the models’ MIpacks to identify model performance or data related issues, andsupport your team members by maintaining issue logs and MI on thereview pipeline. You’ll alsobe: Assisting inrunning Pillar 3 reviews by verifying the analysis andunderstanding the code logic Supporting thedevelopment of analytical tools for validationtests More ❯

Proven experience in operational resilience, risk management, or business continuity within financial services or a regulated environment. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and mitigate risks from AI systems (e.g., model drift, bias, explainability). Familiarity with resilience frameworks and regulatory expectations (e.g., PRA SS1/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring More ❯

Job Description Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Concord, NC three times per week, at minimum. Given the need to support some live race events during weekends, this role More ❯