Risk Specialist at Uber AI Solutions, United Kingdom, £Freelance Rate

Freelance Quantitative Model Risk specialist

We are looking for a freelance Quantitative Model Risk/Model Validation specialist with a strong quantitative background in model validation or model development to support the development of model risk solutions. Please note that this is an independent contractor (IC) engagement, not a full-time role. This is a freelance, paid earning opportunity through Uber AI Solutions.

This opportunity requires knowledge of model testing and validation techniques for Equity options pricing models and one or more additional asset classes or modeling domains: FX, MBS, Rates, Inflation, or Commodities. Your core work will include reviewing and expanding the internal knowledge base and advising engineering and product teams on various model risk topics.

Essential duties and responsibilities

During this engagement, you will:

• Work with product and engineering teams acting as a model risk SME, providing sound advice and in-depth technical expertise.
• Review and develop specifications for model performance tests, including detailed procedures, test interpretation, and metrics.
• Implement testing routines for reusable and sustainable consumption.

Key skills

• Strong analytical skills, solid knowledge of financial modeling concepts (such as option pricing theory), and the ability to apply quantitative techniques to validate and monitor the aforementioned categories of models.
• Hands-on experience in the design of validation and diagnostics tests.
• Coding experience in Python (knowledge of C++ is an advantage), alongside an interest in a broader range of technology solutions.
• Experience working in a customer-centric environment is an advantage.
• Ability to articulate complex model details to business stakeholders.
• An organized, well-researched, and thoughtful approach to work.
• Working well individually, but also as part of a team.
• Attention to detail and a positive attitude.
• Understanding of the model life cycle and main principles of model risk management.

Qualifications

• Approximately 5 years of experience within quantitative modeling or model validation engagements.
• MSc degree in mathematics, statistics, physics, or another related discipline.
• PhD holders are preferred; however, talented individuals with an MSc degree in a relevant background are welcome.