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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 in a collaborative environment with talented professionals.
- Qualifications: Degree in a quantitative field; 2-4 years of experience in IFRS 9 modeling required.
- Other info: Strong analytical skills and proficiency in SAS or Python are essential.
The predicted salary is between 43200 - 72000 £ 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.
Model Validation - IFRS 9 employer: Campion Pickworth
Contact Detail:
Campion Pickworth Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Model Validation - IFRS 9
✨Tip Number 1
Make sure to showcase your experience with IFRS 9 modeling during networking events or informational interviews. Engaging with professionals in the field can help you gain insights and potentially lead to referrals.
✨Tip Number 2
Familiarize yourself with the latest trends and updates in credit risk modeling and IFRS 9 regulations. This knowledge will not only boost your confidence but also demonstrate your commitment to staying current in the field.
✨Tip Number 3
Join relevant online forums or groups focused on risk analytics and model validation. Engaging in discussions can help you build connections and learn from others' experiences, which may be beneficial when applying for the role.
✨Tip Number 4
Consider reaching out to current or former employees at StudySmarter through LinkedIn. A friendly message expressing your interest in the Model Validation position can provide you with valuable insights and possibly a referral.
We think you need these skills to ace 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, particularly those involving ECL and staging models.
Showcase Technical Skills: Clearly outline your proficiency in SAS and Python. Mention any specific projects or analyses where you utilized these tools, as well as your understanding of statistical techniques relevant to model development.
Demonstrate Analytical Abilities: In your application, illustrate your strong analytical and problem-solving skills. You can do this by discussing how you've approached complex data analysis tasks or model validations in the past.
Craft a Strong Cover Letter: Write a compelling cover letter that not only summarizes your qualifications but also expresses your passion for risk analytics and model validation. Tailor it to reflect your understanding of the role and the company's objectives.
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, particularly in the context of IFRS 9.
✨Understand Regulatory Standards
Familiarize yourself with the regulatory guidelines and standards for IFRS 9. Be ready to discuss how you ensure compliance in your previous work and how you would approach this in the new role.
✨Communicate Effectively
Since excellent communication is key, practice articulating your thoughts clearly. Prepare to explain technical concepts in a way that is understandable to non-technical stakeholders, as collaboration with cross-functional teams will be essential.
