At a Glance
- Tasks: Validate AI models' performance and reliability while collaborating with developers.
- Company: Goldman Sachs, a leader in financial services with a focus on innovation.
- Benefits: Competitive salary, diverse work environment, and opportunities for growth.
- Other info: Dynamic role with a strong emphasis on collaboration and problem-solving.
- Why this job: Join a cutting-edge team and shape the future of AI in finance.
- Qualifications: Degree in a quantitative field and programming skills in Python.
The predicted salary is between 50000 - 70000 £ per year.
Overview
The Model Risk Management (MRM) team at Goldman Sachs ensures the safety and soundness of the firm’s models, including AI and machine learning models. This role provides an opportunity to contribute to the overall model risk management framework and the firm’s AI initiatives.
Key Responsibilities
- Independently validate the performance, accuracy, and reliability of AI models used within Goldman Sachs, focusing on aspects such as accuracy, explainability, model design, and algorithmic robustness.
- Develop and implement validation methodologies and benchmark models tailored to the specific characteristics of AI models.
- Conduct thorough testing and analysis of model outputs, identifying and documenting potential risks and limitations.
- Collaborate with model developers and business stakeholders to address identified issues and improve model performance.
Preferred Qualifications
- A Bachelor, Master, or Ph.D. degree in Computer Science, Mathematics, Physics, Engineering, or a closely related quantitative field.
- Programming expertise in Python, including experience with relevant data science libraries such as NumPy, Pandas, TensorFlow, and PyTorch.
- Understanding of statistical modelling and machine learning algorithms.
- Excellent analytical, problem‑solving, and communication skills.
- Demonstrated curiosity, ownership, and a willingness to work in a collaborative environment.
Equal Employment Opportunity
Goldman Sachs is an equal‑opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.
Risk, AI Model Validation, Associate, Birmingham employer: Goldman Sachs Group, Inc.
Goldman Sachs is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Birmingham. Employees benefit from comprehensive growth opportunities, competitive compensation, and a commitment to diversity and inclusion, making it an ideal place for those looking to make a meaningful impact in the field of AI model validation.
StudySmarter Expert Advice🤫
We think this is how you could land Risk, AI Model Validation, Associate, Birmingham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Goldman Sachs. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got experience with Python or AI models, consider creating a mini-project or portfolio. It’s a great way to demonstrate your expertise and passion for model validation.
✨Tip Number 3
Prepare for interviews by brushing up on your analytical and problem-solving skills. Practice explaining complex concepts in simple terms – it shows you can communicate effectively, which is key in collaborative environments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Risk, AI Model Validation, Associate, Birmingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role. Highlight your programming expertise in Python and any relevant projects you've worked on, especially those involving AI or machine learning.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about model risk management and how your background makes you a great fit. Be sure to mention specific experiences that demonstrate your analytical and problem-solving skills.
Showcase Your Curiosity:In your application, let us see your curiosity and willingness to learn. Mention any recent trends in AI or machine learning that excite you, and how you’ve kept up with developments in the field.
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 serious about joining our team!
How to prepare for a job interview at Goldman Sachs Group, Inc.
✨Know Your Models
Make sure you understand the AI models you'll be validating. Brush up on their performance metrics, accuracy, and explainability. Being able to discuss specific models and their applications will show your depth of knowledge and enthusiasm for the role.
✨Showcase Your Programming Skills
Be prepared to talk about your experience with Python and relevant libraries like NumPy, Pandas, TensorFlow, and PyTorch. Consider bringing examples of projects you've worked on that demonstrate your programming expertise and how you've applied it in real-world scenarios.
✨Demonstrate Analytical Thinking
During the interview, highlight your analytical and problem-solving skills. Prepare to discuss how you've approached complex problems in the past, particularly in relation to model validation or risk management. Use specific examples to illustrate your thought process.
✨Emphasise Collaboration
Goldman Sachs values teamwork, so be ready to share experiences where you've collaborated with others. Talk about how you've worked with model developers or stakeholders to address issues and improve model performance. This will show that you're a team player who can thrive in a collaborative environment.
