Associate Quantitative Analyst, Model Validation at Jefferies Company Inc
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

22 Nov, 25

Salary

0.0

Posted On

23 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Market Risk, Collaboration, Mathematics, Computer Science, Physics, Teamwork, Communication Skills, Python, Financial Engineering

Industry

Financial Services

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.

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

How To Apply:

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Responsibilities

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 developersCommunicate the results of model validation activities, model limitations and uncertainties to the key stakeholders and management
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