Associate Quantitative Analyst, Model Validation

Jefferies; Greater London; On-site; GBP 100,000 - 125,000; Full time

Job summary

A leading financial services firm in Greater London is seeking an Associate Quantitative Analyst for its Model Validation function. You will independently validate models, conduct reviews, and communicate findings to key stakeholders. The ideal candidate holds an MSc or PhD in a quantitative field and possesses strong analytical and programming skills. Familiarity with market risk and derivative pricing models is essential. This is an excellent opportunity for a collaborative team player looking to enhance their career in a dynamic environment.

Qualifications

• MSc or preferably PhD in a quantitative field (physics, mathematics, computer science, financial engineering, etc.).
• Strong communication skills to find practical solutions to challenges.
• Good familiarity with market risk and derivative pricing models.

Responsibilities

• Perform independent validation and approval of models.
• Conduct annual review and revalidation of existing models.
• Communicate results of model validation activities to stakeholders.

Skills

Strong analytical skills

Programming in Python

Teamwork and collaboration

Education

MSc in a quantitative field

PhD in a quantitative field

Job description

Team

The primary mandate of Model Validation Team is to manage risk that arises from models used in the firm throughout its range of businesses, including models used for derivatives valuation, market and credit risk management, liquidity, and capital computations. The team is responsible for independently reviewing models for validity, theoretical consistency and implementation accuracy, as well as assessing the risk associated with model choice.

Role

Jefferies is looking for an Associate Quantitative Analyst to join our Model Validation function.

Key Responsibilities

• Perform independent validation and approval of models, including raising and managing model validation findings
• Conduct annual review and revalidation of existing models
• Provide effective challenge to model assumptions, mathematical formulation, and implementation
• Assess and quantify the model risk arising from model limitations, to inform stakeholders of their risk profile and development of compensating controls
• Contribute to strategic, cross-functional initiatives within the model risk team
• Oversee ongoing model performance monitoring, including benchmarking, process verification and outcome analysis performed by model developers
• Communicate the results of model validation activities, model limitations and uncertainties to the key stakeholders and management

Qualifications

• MSc or preferably PhD in a quantitative field (physics, mathematics, computer science, financial engineering, etc.)
• Strong communication skills with the ability to find practical solutions to challenging problems
• Teamwork and collaboration skills a must
• Strong analytical and programming skills (numerical techniques, coding in Python)
• Good familiarity with market risk and derivative pricing models