Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Validate AI models and develop methodologies while collaborating with stakeholders.
- Company: Leading global investment firm based in Birmingham.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Why this job: Make a real impact on AI model risk management in a dynamic setting.
- Qualifications: Quantitative degree, programming skills in Python, and knowledge of statistical modelling.
- Other info: Join a forward-thinking team and enhance your career in finance and technology.
The predicted salary is between 43200 - 72000 £ per year.
A leading global investment firm in Birmingham is seeking a Vice President for Risk, AI Model Validation. The role involves validating AI models' performance and accuracy, developing methodologies, and collaborating with stakeholders.
Candidates should have:
- a quantitative degree
- programming expertise in Python
- a solid understanding of statistical modeling
This position offers opportunities to contribute to the firm's model risk management framework and work in a collaborative environment.
VP, AI Model Validation & Risk Oversight employer: Goldman Sachs
Contact Detail:
Goldman Sachs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP, AI Model Validation & Risk Oversight
✨Tip Number 1
Network like a pro! Reach out to professionals in the investment and AI sectors on LinkedIn. A friendly message can open doors, and who knows, they might even refer you directly to the hiring team.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your AI model validation projects or any relevant programming work in Python. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Brush up on your statistical modelling knowledge and be ready to discuss methodologies during interviews. We recommend doing mock interviews with friends or using online platforms to get feedback.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace VP, AI Model Validation & Risk Oversight
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your quantitative degree and programming skills in Python. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI model validation and risk oversight. We love seeing candidates who can articulate their understanding of statistical modelling and its importance in our work.
Showcase Collaboration Skills: Since this role involves working closely with stakeholders, make sure to mention any past experiences where you’ve successfully collaborated with others. We value teamwork, so let us know how you can contribute to our collaborative environment!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Goldman Sachs
✨Know Your AI Models Inside Out
Make sure you’re well-versed in the AI models relevant to the role. Brush up on their performance metrics and validation techniques, as you’ll likely be asked to discuss specific methodologies during the interview.
✨Show Off Your Python Skills
Since programming expertise in Python is a must, prepare to demonstrate your coding skills. You might be given a practical task or asked about your past projects, so have examples ready that showcase your proficiency.
✨Understand Statistical Modelling Thoroughly
Dive deep into statistical modelling concepts. Be prepared to explain how you’ve applied these in previous roles, especially in relation to risk management. This will show your potential employer that you can contribute effectively to their model risk management framework.
✨Collaborate and Communicate
This role involves working with various stakeholders, so highlight your collaborative experiences. Share examples of how you’ve successfully worked in teams and communicated complex ideas clearly, as this will demonstrate your fit for their collaborative environment.
