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- Tasks: Validate IFRS 9 credit risk models and analyze large datasets using SAS or Python.
- Company: Join a dynamic team leading in financial risk management.
- Benefits: Enjoy competitive salary, career growth opportunities, and continuous learning.
- Why this job: Work on cutting-edge models and collaborate with talented professionals.
- Qualifications: Degree in a quantitative field; 2-4 years of experience in IFRS 9 modeling.
- Other info: Strong analytical skills and proficiency in SAS or Python are essential.
The predicted salary is between 36000 - 60000 £ per year.
Are you passionate about risk analytics and model validation? Do you have experience in IFRS 9 modeling, a strong analytical background, and proficiency in SAS or Python?
As an IFRS 9 Model Validator, you will play a pivotal role in ensuring the accuracy, reliability, and regulatory compliance of our IFRS 9 credit risk models. Working alongside a team of talented professionals, you will be involved in validating model performance, assessing assumptions, and delivering actionable insights.
Key Responsibilities
- Validate IFRS 9 credit risk models, including ECL (Expected Credit Loss) and staging models.
- Perform backtesting, sensitivity analysis, and benchmarking to assess model robustness.
- Analyze large datasets using SAS or Python to identify trends and anomalies.
- Evaluate model assumptions, methodologies, and documentation for compliance with IFRS 9 standards.
- Prepare validation reports, highlighting findings and recommendations for model improvement.
- Collaborate with cross-functional teams, including risk management, finance, and data science.
Requirements
- Academic Background: Degree in a quantitative field such as Mathematics, Statistics, Economics, Finance, or a related discipline. Advanced degrees are a plus.
- Technical Skills:
- Proficiency in SAS and/or Python for data analysis and modeling.
- Strong understanding of statistical techniques and model development processes.
- Experience:
- 2-4 years of experience in IFRS 9 modeling, credit risk, or model validation.
- Familiarity with regulatory guidelines and standards for IFRS 9.
- Soft Skills:
- Strong analytical and problem-solving skills.
- Excellent communication and report-writing abilities.
Why Join Us?
- Be part of a dynamic team at the forefront of financial risk management.
- Opportunity to work on cutting-edge models in a collaborative environment.
- Competitive salary and benefits package.
- Career growth opportunities and continuous learning.
Campion Pickworth | Model Validation - IFRS 9 employer: Campion Pickworth
Contact Detail:
Campion Pickworth Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Campion Pickworth | Model Validation - IFRS 9
✨Tip Number 1
Make sure to showcase your experience with IFRS 9 modeling in your conversations. Highlight specific projects where you validated credit risk models, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Brush up on your SAS and Python skills before the interview. Be prepared to discuss how you've used these tools for data analysis and model validation, as technical proficiency is key for this role.
✨Tip Number 3
Familiarize yourself with the latest regulatory guidelines related to IFRS 9. Being able to discuss these standards and how they impact model validation will show that you're well-informed and ready to contribute.
✨Tip Number 4
Prepare to discuss your analytical problem-solving approach. Think of examples where you identified trends or anomalies in large datasets, as this will highlight your critical thinking skills and fit for the team.
We think you need these skills to ace Campion Pickworth | Model Validation - IFRS 9
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in IFRS 9 modeling and model validation. Provide specific examples of projects you've worked on that demonstrate your analytical skills and proficiency in SAS or Python.
Showcase Technical Skills: Clearly outline your technical skills, especially your proficiency in SAS and Python. Mention any relevant statistical techniques you are familiar with and how you have applied them in past roles.
Tailor Your Application: Customize your CV and cover letter to align with the job description. Use keywords from the job posting to ensure your application stands out and demonstrates your fit for the role.
Prepare for Reporting: Since report-writing is a key responsibility, include examples of reports you have prepared in previous positions. Highlight your ability to communicate complex findings clearly and effectively.
How to prepare for a job interview at Campion Pickworth
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SAS and Python during the interview. Be prepared to discuss specific projects where you utilized these tools for data analysis or model validation.
✨Demonstrate Your Analytical Thinking
Prepare examples that showcase your strong analytical and problem-solving skills. Discuss how you've approached complex modeling challenges and the methodologies you used to overcome them.
✨Understand IFRS 9 Standards
Familiarize yourself with the key aspects of IFRS 9, especially regarding ECL and staging models. Being able to discuss regulatory guidelines will show your depth of knowledge and commitment to compliance.
✨Prepare for Collaboration Questions
Since the role involves working with cross-functional teams, be ready to share experiences where you collaborated with others. Highlight your communication skills and how you contributed to team success.
