Quantitative Model Validation Associate

Jefferies Financial Group; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading global investment bank in London seeks an Associate Quantitative Analyst for its Model Validation team. The role involves validating and approving models, conducting annual reviews, assessing model risk, and contributing to cross-functional initiatives. Candidates should possess an MSc or PhD in a quantitative field, strong communication skills, and proficiency in programming (Python). This full-time position is crucial for risk management and requires strong teamwork and analytical abilities.

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

Responsibilities

• Perform independent validation and approval of models
• Conduct annual review and revalidation of existing models
• Provide effective challenge to model assumptions and implementation
• Assess and quantify the model risk arising from model limitations
• Contribute to strategic initiatives within the model risk team
• Oversee ongoing model performance monitoring
• Communicate the results of model validation activities to stakeholders

Skills

Strong communication skills

Teamwork and collaboration

Strong analytical skills

Programming skills (Python)

Familiarity with market risk and derivative pricing models

Education

MSc or PhD in a quantitative field

Job description

A leading global investment bank in London seeks an Associate Quantitative Analyst for its Model Validation team. The role involves validating and approving models, conducting annual reviews, assessing model risk, and contributing to cross-functional initiatives. Candidates should possess an MSc or PhD in a quantitative field, strong communication skills, and proficiency in programming (Python). This full-time position is crucial for risk management and requires strong teamwork and analytical abilities.