Freelance Quantitative Model Risk Specialist

Freelance Quantitative Model Risk specialist

Location : Remote - United Kingdom

ESSENTIAL DUTIES & RESPONSIBILITIES

We are looking for a Quantitative Model Risk/Model Validation specialist with strong quantitative background in model validation or model development to support the development of model risk solutions. The role requires knowledge of model testing and validation techniques for Equity options pricing models and one or more additional asset classes/modelling domains: FX, MBS, Rates, Inflation or Commodities. The core work will include reviewing and expanding the internal knowledge base and advising engineering and product team on various model risk topics. 

The successful candidate will:

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

KEY SKILLS

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

QUALIFICATIONS 

• Appx 5 years within quantitative modelling or model validation roles
• MSc degree in Mathematics, Statistics, Physics or other related discipline 
• PhD holders preferred, however talent