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- Tasks: Lead the validation of quantitative models and ensure compliance with industry standards.
- Company: Join a forward-thinking company focused on innovative risk management solutions.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Why this job: Make an impact by enhancing model accuracy and contributing to strategic decision-making.
- Qualifications: Strong analytical skills and experience in quantitative modeling are essential.
- Other info: Ideal for those passionate about finance and risk management.
The predicted salary is between 43200 - 72000 £ per year.
Primary Responsibilities:
- Conduct initial and ongoing validation of quantitative models.
- Develop, design, and prototype alternative models.
- Perform quantitative analysis and review of model frameworks, assumptions, data, and outcomes.
- Test numerical implementations of models and review associated documentation.
- Ensure compliance with governance requirements.
- Document findings in validation reports, including recommendations for model enhancements.
- Validate models in accordance with regulatory standards and industry best practices.
- Monitor the implementation of validation recommendations.
- Prepare model risk reports for the Model Oversight Committee and the Board.
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VP - Model Risk Validation employer: Selby Jennings
Contact Detail:
Selby Jennings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP - Model Risk Validation
✨Tip Number 1
Familiarize yourself with the latest regulatory standards and industry best practices related to model risk validation. This knowledge will not only help you in interviews but also demonstrate your commitment to compliance and governance.
✨Tip Number 2
Showcase your experience with quantitative analysis and model development in your discussions. Be prepared to discuss specific models you've worked on, the challenges you faced, and how you validated their effectiveness.
✨Tip Number 3
Network with professionals in the field of model risk validation. Attend industry conferences or webinars to connect with others and gain insights into current trends and challenges in model validation.
✨Tip Number 4
Prepare to discuss how you document findings and recommendations in validation reports. Highlight your ability to communicate complex quantitative concepts clearly and effectively to stakeholders, including the Model Oversight Committee.
We think you need these skills to ace VP - Model Risk Validation
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly understand the responsibilities of the VP - Model Risk Validation position. Highlight your experience in validating quantitative models and your familiarity with regulatory standards in your application.
Tailor Your CV: Customize your CV to emphasize relevant skills and experiences related to model validation, quantitative analysis, and compliance with governance requirements. Use specific examples that demonstrate your expertise in these areas.
Craft a Strong Cover Letter: Write a compelling cover letter that outlines your motivation for applying and how your background aligns with the company's needs. Mention any experience you have with developing alternative models and preparing risk reports.
Highlight Technical Skills: In your application, be sure to highlight your technical skills, particularly in quantitative analysis and model testing. Mention any software or tools you are proficient in that are relevant to model risk validation.
How to prepare for a job interview at Selby Jennings
✨Showcase Your Quantitative Skills
Be prepared to discuss your experience with quantitative models in detail. Highlight specific examples where you conducted validations or developed alternative models, and be ready to explain your analytical approach.
✨Understand Regulatory Standards
Familiarize yourself with the relevant regulatory standards and industry best practices related to model risk validation. Demonstrating your knowledge in this area will show that you are well-prepared for the role.
✨Prepare for Technical Questions
Expect technical questions regarding model frameworks, assumptions, and numerical implementations. Practice explaining complex concepts clearly and concisely, as this will be crucial in your role.
✨Emphasize Documentation Skills
Since documenting findings is a key responsibility, be ready to discuss your experience in writing validation reports. Provide examples of how you've communicated recommendations effectively to stakeholders.
