At a Glance
- Tasks: Validate counterparty credit exposure and XVA models, ensuring compliance with regulatory standards.
- Company: Join a leading bank focused on innovative risk management solutions.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Why this job: Be part of a dynamic team that influences key financial decisions and enhances model governance.
- Qualifications: Masters or PhD in a quantitative field; strong knowledge of financial mathematics and coding skills required.
- Other info: Engage with diverse stakeholders and contribute to impactful model validation processes.
The predicted salary is between 72000 - 108000 £ per year.
The successful candidate will report to the Head of Model Validation. The purpose of the role is to act as the second line of defence on Model Risk and to validate the models used in the Bank. This team is responsible for performing model validation and model review for a wide range of pricing and risk models.
Responsibilities for this role include:
- Validation of counterparty credit exposure and XVA models.
- Review of risk factor simulation models, backtesting and model calibration.
- Independently implement benchmark models, covering product specific implementations and features such as CSAs and netting.
- Validate the models from a mathematical and implementation perspective.
- Review the applicability (i.e. the strengths, weaknesses, model assumptions and limitations) of the models.
- Document model validation testing and findings to a high standard and follow up with stakeholders on identified modelling issues.
- Develop the capability to communicate and interact with different relevant stakeholders and oversight bodies, e.g. front office, risk department, regulators, and internal and external auditors.
- Conduct validations with a minimal amount of supervision in line with regulatory expectations.
- Participate in the relevant technical committees and present model validation documents.
- Conduct model risk management processes including model risk monitoring and ongoing and periodic validation.
Key interfaces include establishing a strong working relationship with key stakeholders in front office, finance and risk functions, and providing stakeholders with answers to day-to-day requests while preserving long term objectives and regular schedule review.
Preferred Qualifications and Experience:
- Excellent academic credentials; Masters or PhD degree in a quantitative field are required.
- Advanced knowledge of quantitative methods such as financial mathematics, stochastic processes and Monte-Carlo simulation.
- Extensive knowledge of and experience in validating counterparty risk models (PFE and XVA models).
- Good knowledge of regulatory standards and capital requirements under Basel III and SACCR.
- Good understanding of CCR and XVA risk measurement and management.
- Good high-level cross asset class product knowledge.
- Good coding skills (preferably C++) and working knowledge of Excel.
- Experience with Adaptiv Analytics for PFE modelling, Murex as a booking and risk management tool would be beneficial.
- Good written and verbal communication skills; ability to work independently.
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Counterparty Risk Model Validator - Senior Manager
✨Tip Number 1
Familiarise yourself with the latest regulatory standards and capital requirements under Basel III and SACCR. This knowledge will not only help you understand the expectations of the role but also demonstrate your commitment to staying updated in the field.
✨Tip Number 2
Network with professionals in the counterparty risk and model validation space. Attend industry conferences or webinars, and connect with people on platforms like LinkedIn. Building relationships can provide insights into the role and potentially lead to referrals.
✨Tip Number 3
Brush up on your coding skills, particularly in C++. Since the role requires good coding abilities, being able to showcase your technical skills during discussions can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your experience with model validation processes, especially regarding counterparty credit exposure and XVA models. Be ready to share specific examples of how you've approached model validation and the outcomes of your work.
We think you need these skills to ace Counterparty Risk Model Validator - Senior Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your academic credentials, particularly your Masters or PhD in a quantitative field. Emphasise your experience with counterparty risk models and any relevant coding skills, especially in C++.
Craft a Strong Cover Letter: In your cover letter, clearly articulate your understanding of model validation processes and your experience with regulatory standards like Basel III. Mention specific examples of how you've validated models in the past.
Showcase Communication Skills: Since the role requires interaction with various stakeholders, include examples in your application that demonstrate your written and verbal communication skills. Highlight any experience presenting technical documents to non-technical audiences.
Detail Your Technical Expertise: Be specific about your knowledge of quantitative methods and tools. If you have experience with Adaptiv Analytics or Murex, make sure to mention it. This will show that you have the technical background necessary for the role.
How to prepare for a job interview at Job Traffic
✨Showcase Your Technical Expertise
Make sure to highlight your advanced knowledge of quantitative methods and your experience with counterparty risk models. Be prepared to discuss specific models you've validated, including PFE and XVA models, and demonstrate your understanding of the mathematical principles behind them.
✨Understand Regulatory Standards
Familiarise yourself with Basel III and SACCR regulations, as well as how they impact model validation. During the interview, be ready to explain how you ensure compliance with these standards in your previous roles.
✨Communicate Effectively
Since this role involves interacting with various stakeholders, practice articulating complex concepts in a clear and concise manner. Prepare examples of how you've successfully communicated findings or issues to non-technical audiences in the past.
✨Demonstrate Problem-Solving Skills
Be ready to discuss how you've approached model validation challenges in the past. Share specific instances where you identified weaknesses or limitations in models and how you addressed them, showcasing your analytical thinking and independence.