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- Tasks: Validate AI models for accuracy and ensure compliance with regulations.
- Company: Leading global investment bank with a focus on innovation.
- Benefits: Competitive salary, career advancement, and a dynamic work environment.
- Why this job: Join a cutting-edge team and make a real impact in financial model risk management.
- Qualifications: Bachelor's, Master's, or Ph.D. in a quantitative field and Python programming experience.
- Other info: Collaborative atmosphere with opportunities to work on exciting AI projects.
The predicted salary is between 48000 - 72000 £ per year.
A leading global investment bank is seeking an AI Model Risk VP for its Birmingham office. This role involves validating AI models for accuracy and reliability while ensuring compliance with regulations.
The ideal candidate should possess a Bachelor, Master, or Ph.D. in a quantitative field and have significant programming experience in Python. The position requires strong analytical skills, an understanding of machine learning algorithms, and the ability to collaborate effectively with cross-functional teams.
This is a unique opportunity for those eager to contribute to model risk management within the financial sector.
VP, AI Model Risk Validation — Birmingham employer: Goldman Sachs Group, Inc.
Contact Detail:
Goldman Sachs Group, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP, AI Model Risk Validation — Birmingham
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and AI sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your Python skills and understanding machine learning algorithms. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions.
✨Tip Number 3
Showcase your analytical skills by preparing a portfolio of projects that demonstrate your experience with AI models. This could be anything from personal projects to contributions to open-source initiatives.
✨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 Risk Validation — Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI model validation and programming in Python. We want to see how your skills align 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 model risk management and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Analytical Skills: In your application, emphasise your analytical skills and understanding of machine learning algorithms. We’re looking for candidates who can think critically and solve complex problems, so give us examples of how you’ve done this in the past.
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 us you’re keen on joining our team!
How to prepare for a job interview at Goldman Sachs Group, Inc.
✨Know Your Models
Make sure you have a solid understanding of the AI models you'll be validating. Brush up on the specific algorithms and techniques relevant to the role, as well as any recent developments in the field. This will show your passion and expertise during the interview.
✨Showcase Your Programming Skills
Since programming in Python is crucial for this role, be prepared to discuss your coding experience. Bring examples of projects you've worked on or challenges you've overcome using Python. If possible, practice explaining your code clearly, as communication is key when collaborating with teams.
✨Understand Compliance Regulations
Familiarise yourself with the compliance regulations that impact AI model risk validation in the financial sector. Being able to discuss how these regulations influence your work will demonstrate your readiness for the role and your commitment to maintaining high standards.
✨Prepare for Team Collaboration Questions
Expect questions about your experience working with cross-functional teams. Think of specific examples where you successfully collaborated with others, highlighting your communication skills and ability to resolve conflicts. This will help illustrate your fit for the team-oriented environment of the bank.
