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- 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 significant impact on model risk management in a dynamic industry.
- Qualifications: Quantitative degree, programming skills in Python, and knowledge of statistical modelling.
- Other info: Join a forward-thinking team and enhance your career in AI and risk oversight.
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 in Birmingham 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 in Birmingham
✨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 just refer you for that VP role!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your AI model validation projects. This will not only highlight your programming expertise in Python but also demonstrate your understanding of statistical modelling.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by brushing up on common questions related to risk management and AI models. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
Don’t forget to 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 in Birmingham
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 interest in the field and how they can contribute to our team.
Showcase Your Statistical Knowledge: Since this role involves a solid understanding of statistical modelling, make sure to mention any relevant coursework or projects. We’re looking for candidates who can demonstrate their expertise and how it applies to model risk management.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our collaborative environment!
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 asked to solve a problem or explain how you've used Python in past projects, so have some examples ready.
✨Understand Statistical Modelling Thoroughly
Dive deep into statistical modelling concepts. Be prepared to discuss how you’ve applied these principles in real-world scenarios, especially in risk management contexts, as this will showcase your analytical capabilities.
✨Collaborate and Communicate
This role involves working with various stakeholders, so highlight your teamwork and communication skills. Think of examples where you successfully collaborated on projects, as this will demonstrate your fit for the collaborative environment they’re looking for.
