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- Tasks: Validate AI models, ensuring accuracy and compliance while collaborating with experts.
- Company: Join Goldman Sachs, a leading global investment banking firm with a diverse culture.
- Benefits: Competitive salary, professional development, and a commitment to diversity and inclusion.
- Why this job: Make a real impact in AI model validation within a top financial institution.
- Qualifications: Degree in a quantitative field and programming skills in Python required.
- Other info: Dynamic team environment with excellent career growth opportunities.
The predicted salary is between 43200 - 72000 £ per year.
Goldman Sachs's Model Risk Management (MRM) team plays a critical role in ensuring the safety and soundness of the firm's models. MRM validates a diverse set of models, including AI and machine learning models, used within the firm. This role offers the opportunity to significantly contribute to the firm's overall model risk management framework and AI.
The Model Risk Management (MRM) group is a multidisciplinary group of quantitative experts at Goldman Sachs with presence in New York, Dallas, London, Birmingham, Warsaw, Hong Kong, and Bangalore. The MRM group is responsible for independent oversight of Model Risk at the firm, ensuring compliance with Firmwide Policy on Model Control and related standards, including documentation to evidence effective challenge over the Model development, implementation, and usage of Models.
The group’s primary mandate is to manage risk that arises from models used in the firm through its range of businesses– from models used for derivatives valuation to models used for risk management, liquidity and capital computations. In addition to independently reviewing these classes of models for their validity, theoretical consistency and implementation accuracy, the group is also responsible to assess the risk associated with model choice, e.g., exposure to choice of model in various contexts such as pricing exotic options or in calculating capital.
Goldman Sachs is seeking a highly motivated AI Model Risk VP to join our Model Risk Management (MRM) team in Birmingham. You will play a crucial role in validating the firm's AI models, ensuring their accuracy, reliability, and compliance with regulatory requirements. This is a unique opportunity to gain exposure to a wide range of AI applications within a leading global financial institution and contribute directly to the firm's risk management framework. You will work closely with AI researchers, AI model developers, and other stakeholders to understand model methodologies, assess model risks, and implement validation plans and benchmarking models.
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 (e.g., NumPy, Pandas, TensorFlow, 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.
Risk, AI Model Validation, Associate/Vice President, Birmingham employer: Goldman Sachs Bank AG
Contact Detail:
Goldman Sachs Bank AG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Risk, AI Model Validation, Associate/Vice President, Birmingham
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Goldman Sachs, especially those in the MRM team. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your AI model validation knowledge. We should be ready to discuss specific models and methodologies, so dive into some case studies and recent developments in the field.
✨Tip Number 3
Show off your programming skills! Be prepared to demonstrate your expertise in Python and relevant libraries during technical interviews. We can even practice coding challenges together to sharpen our skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can track our progress and stay updated on any new opportunities that pop up.
We think you need these skills to ace Risk, AI Model Validation, Associate/Vice President, 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 expertise in AI model validation and any relevant programming skills, especially in Python. We want to see how you can contribute to our MRM team!
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 great fit for Goldman Sachs. Be genuine and let your personality come through.
Showcase Your Analytical Skills: In your application, emphasise your analytical and problem-solving abilities. Provide examples of how you've tackled complex issues in the past, particularly in relation to AI models or quantitative analysis. We love seeing real-world applications of your skills!
Apply Through Our Website: Don't forget to apply through our official website! It’s the best way to ensure your application gets the attention it deserves. Plus, you'll find all the details you need about the role and our team there.
How to prepare for a job interview at Goldman Sachs Bank AG
✨Know Your Models Inside Out
Make sure you have a solid understanding of the AI models you'll be validating. Brush up on their methodologies, strengths, and weaknesses. Being able to discuss specific models and their applications will show your expertise and enthusiasm for the role.
✨Showcase Your Technical Skills
Be prepared to demonstrate your programming skills, especially in Python. Familiarise yourself with relevant libraries like NumPy and TensorFlow. You might even be asked to solve a coding problem during the interview, so practice beforehand!
✨Prepare for Scenario-Based Questions
Expect questions that assess your analytical and problem-solving abilities. Think about how you would approach validating a model or addressing a specific risk. Use examples from your past experiences to illustrate your thought process and decision-making.
✨Emphasise Collaboration and Communication
Since you'll be working closely with AI researchers and stakeholders, highlight your teamwork and communication skills. Share examples of how you've successfully collaborated in the past, and be ready to discuss how you would handle feedback and improve model performance.
