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- Tasks: Join our team to design and validate credit risk models and perform stress testing.
- Company: Bailey & French is a boutique consultancy focused on risk management and regulatory compliance.
- Benefits: Enjoy flexible working arrangements and opportunities for professional development.
- Why this job: Work with top-tier banking clients on impactful projects in a collaborative environment.
- Qualifications: 3-5 years in credit risk, proficient in Python/SAS, and strong communication skills required.
- Other info: Ideal for those looking to specialise in a dynamic and entrepreneurial culture.
The predicted salary is between 43200 - 72000 £ per year.
Our client is a boutique European financial services consultancy specializing in risk management, regulatory compliance, and financial modeling. With a strong reputation for delivering high-impact, tailored solutions to leading financial institutions across the continent, they combine deep technical expertise with a collaborative and entrepreneurial culture.
We are seeking a dynamic Credit Risk Consultant to join the firm’s growing credit risk team. The role will focus on IFRS9 modelling, stress testing, and pricing analytics, working with top-tier banking clients. The ideal candidate will have a strong quantitative background, practical programming skills in Python and/or SAS, and a solid understanding of the regulatory credit risk landscape.
Key Responsibilities- Design, develop, and validate IFRS9 credit risk models, including ECL calculations.
- Perform credit stress testing exercises in line with regulatory expectations (EBA, ECB, PRA, etc.).
- Support pricing model development and impact analysis across credit portfolios.
- Utilize Python or SAS for data manipulation, modelling, and analysis.
- Prepare technical documentation and regulatory reports.
- Liaise with client stakeholders, including risk, finance, and regulatory teams.
- Contribute to internal knowledge sharing and methodology development.
- 3–5 years of hands-on experience in credit risk within a consultancy, bank, or financial institution.
- Proven expertise in IFRS9 modelling and credit stress testing.
- Exposure to pricing techniques in retail or wholesale portfolios is highly desirable.
- Proficient in Python and/or SAS for data analysis and model development.
- Strong understanding of European regulatory requirements.
- Excellent communication skills and stakeholder engagement abilities.
Why Join?
- Work in a high-calibre, collaborative consulting environment with exposure to top-tier clients.
- Engage in technically challenging and impactful risk projects.
- Opportunities for professional development and specialization.
- Flexibility in working arrangements and an entrepreneurial company culture.
Contact Detail:
Bailey & French Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit risk IFRS9 Stress testing Consultant
✨Tip Number 1
Network with professionals in the credit risk and financial consultancy sectors. Attend industry events or webinars where you can meet people who work at firms like Bailey & French. Building these connections can give you insights into the company culture and potentially lead to referrals.
✨Tip Number 2
Familiarise yourself with the latest developments in IFRS9 and stress testing regulations. Being well-versed in current regulatory requirements will not only boost your confidence but also demonstrate your commitment to staying updated in this fast-evolving field.
✨Tip Number 3
Showcase your programming skills in Python and SAS through practical examples. Consider working on personal projects or contributing to open-source initiatives that highlight your ability to manipulate data and develop models, as this will set you apart from other candidates.
✨Tip Number 4
Prepare for potential interviews by practising how to explain complex credit risk concepts in simple terms. Since the role involves liaising with various stakeholders, being able to communicate effectively will be crucial in demonstrating your fit for the team.
We think you need these skills to ace Credit risk IFRS9 Stress testing Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in credit risk, particularly with IFRS9 modelling and stress testing. Use specific examples that demonstrate your quantitative skills and programming expertise in Python or SAS.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the regulatory credit risk landscape. Mention your hands-on experience and how it aligns with the responsibilities outlined in the job description.
Highlight Relevant Skills: In your application, emphasise your proficiency in Python and/or SAS for data analysis and model development. Also, mention any experience you have with pricing techniques in retail or wholesale portfolios.
Showcase Communication Abilities: Since excellent communication skills are crucial for this role, provide examples of how you've effectively engaged with stakeholders in previous positions. This could include collaboration with risk, finance, or regulatory teams.
How to prepare for a job interview at Bailey & French
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and/or SAS during the interview. Be prepared to discuss specific projects where you've used these programming languages for data manipulation or model development, as this is crucial for the role.
✨Understand Regulatory Frameworks
Familiarise yourself with European regulatory requirements related to credit risk, such as EBA, ECB, and PRA guidelines. Demonstrating a solid understanding of these regulations will show that you are well-prepared for the challenges of the role.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in stress testing and IFRS9 modelling. Practise articulating your thought process and how you would approach various credit risk scenarios to impress your interviewers.
✨Engage with Stakeholders
Since the role involves liaising with client stakeholders, be ready to discuss your experience in stakeholder engagement. Share examples of how you've effectively communicated complex technical information to non-technical audiences in previous roles.