Risk, AI Model Validation, VP / Associate, Birmingham

WeAreTechWomen; Birmingham; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading global financial institution in Birmingham is seeking an AI Model Risk Associate to validate and ensure the reliability of AI models. Responsibilities include developing validation methodologies, conducting thorough model performance tests, and collaborating with researchers to mitigate risks. Ideal candidates will hold a degree in a quantitative field and be proficient in Python. This role offers a unique opportunity to work on cutting-edge AI applications within a dynamic team.

Benefits

Diversity and inclusion initiatives

Training and development opportunities

Wellness and personal finance offerings

Qualifications

• Degree in a quantitative field.
• Experience with data science libraries in Python.
• Understanding of machine learning algorithms.

Responsibilities

• Validate performance, accuracy, and reliability of AI models.
• Develop validation methodologies for AI models.
• Conduct thorough testing and analysis of model outputs.
• Collaborate with model developers to improve performance.

Skills

Programming expertise in Python

Statistical modelling

Knowledge of machine learning algorithms

Analytical skills

Problem-solving skills

Communication skills

Education

Bachelor's, Master's or Ph.D. degree in Computer Science, Mathematics, Physics, Engineering

Tools

NumPy

Pandas

TensorFlow

PyTorch

Job description

About the Team

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 contribute to the firm's overall model risk management framework and AI.

Model Risk Management (MRM)

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.

Who We Look For

Goldman Sachs is seeking a highly motivated AI Model Risk Associate 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.

• 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.

About Goldman Sachs

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at

We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more:

The Goldman Sachs Group, Inc., 2023. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.