AI Model Validation Specialist – Risk & Reliability

Goldman Sachs; West Midlands; On-site; GBP 60,000 - 90,000; Full time

Job summary

Goldman Sachs is seeking to enhance its Model Risk Management (MRM) team with a focus on validating AI models. The successful candidate will independently validate models, ensuring their accuracy and reliability, while collaborating with developers and stakeholders to enhance model performance.

Qualifications include a degree in a quantitative field, programming expertise in Python, and a solid understanding of statistical modeling and machine learning algorithms. Candidates must exhibit strong analytical and communication skills.

Qualifications

• A degree in a closely related quantitative field is required.
• Expertise in Python programming is essential.
• Understanding of statistical modeling and machine learning algorithms is necessary.
• Candidates should possess strong analytical and problem-solving skills.
• Excellent communication skills are crucial.

Responsibilities

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

Skills

Programming expertise in Python

Statistical modelling understanding

Machine learning algorithms understanding

Excellent analytical skills

Problem-solving skills

Communication skills

Education

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

Tools

NumPy

Pandas

TensorFlow

Pytorch

Job description

Goldman Sachs is seeking to enhance its Model Risk Management (MRM) team with a focus on validating AI models. The successful candidate will independently validate models, ensuring their accuracy and reliability, while collaborating with developers and stakeholders to enhance model performance.

Qualifications include a degree in a quantitative field, programming expertise in Python, and a solid understanding of statistical modeling and machine learning algorithms. Candidates must exhibit strong analytical and communication skills.