Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Validate and review AI models, ensuring they are robust and ethical.
- Company: Hays is a leading recruitment agency shaping the future of AI governance.
- Benefits: Gain experience in a cutting-edge field with potential for remote work.
- Why this job: Join a dynamic team influencing AI's future while collaborating with senior stakeholders.
- Qualifications: 5-7 years in model risk, postgraduate degree in STEM, and strong AI knowledge required.
- Other info: Opportunity to work on Generative AI and engage with innovative technologies.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Contract Opportunity: AI Validator – Model Risk
Location:London
Contract Type: Until end of year
Role PurposeHays are looking to hire a Model Risk specialist with a specific focus on AI and play a pivotal role in shaping the future of AI governance. As part of the Model Risk team, you will independently validate and review AI use cases across various business units, ensuring models are robust, ethical, and fit for purpose-especially in the fast-evolving space of Generative AI.
Key Responsibilities
- Conduct independent validation of AI models, with a focus on Generative AI.
- Design and apply scientific methods to assess model robustness, fairness, and performance.
- Challenge development teams on use case design and testing methodologies.
- Evaluate third-party AI vendor systems and escalate risks where necessary.
- Produce clear, comprehensive validation reports.
- Collaborate with senior stakeholders across the 1st Line of Defence.
What We're Looking For
- 5-7 years of model risk experience, including GenAI and NLP/ML validation.
- Postgraduate degree (MS/PhD) in STEM fields such as Mathematics, Statistics, Computer Science, or Engineering.
- Strong theoretical and practical knowledge of Predictive and Generative AI.
- Hands-on experience with AI model development, including bias/fairness assessments.
- Proficiency in Python and familiarity with AI development pipelines.
- Excellent communication skills and a passion for staying ahead of AI trends.
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Model Risk, AI - Hays employer: Hays
Contact Detail:
Hays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Model Risk, AI - Hays
✨Tip Number 1
Network with professionals in the AI and model risk fields. Attend industry conferences, webinars, or local meetups to connect with others who work in similar roles. This can help you gain insights into the latest trends and potentially lead to referrals.
✨Tip Number 2
Stay updated on the latest developments in Generative AI and model risk management. Follow relevant blogs, podcasts, and research papers to deepen your understanding and demonstrate your knowledge during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and familiarising yourself with AI development pipelines. Practise coding challenges that focus on model validation and bias assessments to showcase your hands-on experience.
✨Tip Number 4
Develop a portfolio of your previous work related to AI model validation. Include case studies that highlight your ability to assess model robustness and fairness, as this will provide concrete examples of your expertise to potential employers.
We think you need these skills to ace Model Risk, AI - Hays
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 5-7 years of model risk experience, especially in Generative AI and NLP/ML validation. Use specific examples to demonstrate your hands-on experience with AI model development.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of its trends. Mention your postgraduate degree and how it relates to the role, as well as your proficiency in Python and experience with bias/fairness assessments.
Highlight Relevant Skills: In your application, emphasise your theoretical and practical knowledge of Predictive and Generative AI. Be sure to mention your ability to produce clear validation reports and collaborate with senior stakeholders.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or inconsistencies. A polished application reflects your attention to detail, which is crucial in the field of model risk.
How to prepare for a job interview at Hays
✨Showcase Your Technical Expertise
Make sure to highlight your hands-on experience with AI model development, especially in Generative AI and NLP/ML validation. Be prepared to discuss specific projects where you've applied scientific methods to assess model robustness and fairness.
✨Prepare for Scenario-Based Questions
Expect questions that challenge your understanding of AI use case design and testing methodologies. Think of examples where you had to evaluate third-party AI vendor systems and how you escalated risks effectively.
✨Communicate Clearly and Confidently
Since excellent communication skills are crucial for this role, practice articulating complex concepts in a clear and concise manner. Prepare to explain your validation reports and findings to senior stakeholders without jargon.
✨Stay Updated on AI Trends
Demonstrate your passion for AI by discussing the latest trends and developments in the field. Being knowledgeable about current advancements will show your commitment to staying ahead in the fast-evolving space of AI governance.