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- Tasks: Validate and approve risk models, ensuring accuracy and consistency.
- Company: Join Jefferies, a leading global investment bank known for innovation.
- Benefits: Enjoy competitive pay, remote work options, and a dynamic work environment.
- Why this job: Be part of a team that shapes risk management strategies and drives impactful change.
- Qualifications: MSc or PhD in a quantitative field with 5+ years in risk model validation.
- Other info: Strong Python skills and teamwork are essential for success.
The predicted salary is between 72000 - 108000 £ per year.
The primary mandate of the 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.
Jefferies is looking for a Vice President 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.
- Contribute to automation/AI efficiency initiatives.
- MSc or preferably PhD in a quantitative field (physics, mathematics, computer science, financial engineering, etc.).
- Understanding of all aspects of the VaR computation framework and Counterparty Credit Risk modelling.
- Strong Python coding skills preferable.
- Strong communication skills with the ability to find practical solutions to challenging problems.
- Teamwork and collaboration skills a must.
- Experience (at least 5 years) with risk model validation and/or development.
Quantitative Analyst, Risk Models,VP employer: Jefferies
Contact Detail:
Jefferies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst, Risk Models,VP
✨Tip Number 1
Familiarise yourself with the specific models and methodologies used in risk management, particularly those related to VaR computation and Counterparty Credit Risk. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Brush up on your Python coding skills, as they are crucial for this position. Consider working on personal projects or contributing to open-source projects that involve quantitative analysis to showcase your abilities.
✨Tip Number 3
Network with professionals in the field of model validation and risk management. Attend industry conferences or webinars where you can meet potential colleagues and learn more about the latest trends and challenges in the sector.
✨Tip Number 4
Prepare to discuss your previous experience with model validation and how you've effectively communicated complex findings to stakeholders. Being able to articulate your thought process and problem-solving skills will set you apart from other candidates.
We think you need these skills to ace Quantitative Analyst, Risk Models,VP
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative analysis and risk model validation. Emphasise your educational background, particularly if you have an MSc or PhD in a quantitative field, and showcase your Python coding skills.
Craft a Strong Cover Letter: In your cover letter, address your understanding of the VaR computation framework and Counterparty Credit Risk modelling. Discuss specific examples of how you've performed model validation and the impact of your work on previous teams or projects.
Highlight Key Skills: Clearly outline your strong communication skills and ability to collaborate within a team. Provide examples of how you've effectively challenged model assumptions and contributed to strategic initiatives in past roles.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or inconsistencies. A polished application reflects your attention to detail, which is crucial for a role in model validation.
How to prepare for a job interview at Jefferies
✨Showcase Your Technical Skills
As a Quantitative Analyst, it's crucial to demonstrate your strong Python coding skills and understanding of risk models. Be prepared to discuss specific projects where you've applied these skills, and consider bringing examples of your work to the interview.
✨Understand the Role's Responsibilities
Familiarise yourself with the key responsibilities outlined in the job description. Be ready to discuss how your experience aligns with tasks like model validation, performance monitoring, and communicating findings to stakeholders.
✨Prepare for Problem-Solving Questions
Expect to face challenging questions that assess your problem-solving abilities. Think about past experiences where you effectively challenged model assumptions or developed solutions to complex issues, and be ready to share these examples.
✨Emphasise Teamwork and Collaboration
Since teamwork is essential for this role, prepare to discuss your experiences working in collaborative environments. Highlight instances where you contributed to cross-functional initiatives or worked closely with other teams to achieve common goals.
