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- Tasks: Join our team to design and validate credit risk models and perform stress testing.
- Company: A boutique consultancy known for tailored financial solutions and a collaborative culture.
- Benefits: Enjoy hybrid/remote work options, professional development opportunities, and a flexible work environment.
- Why this job: Work on impactful projects with top-tier clients in a dynamic and entrepreneurial setting.
- Qualifications: 3-5 years in credit risk, strong quantitative skills, and proficiency in Python or SAS required.
- Other info: Fluent English is essential; additional European languages are a plus.
The predicted salary is between 36000 - 60000 £ per year.
Location: United Kingdom (Hybrid/Remote options available depending on location)
Employment Type: Full-time
Experience Level: 3–5 Years
Languages: Fluent English required; additional European languages a plus
Company Overview
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.
Role Overview
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.
Required Skills and Qualifications
- Bachelor’s or Master’s degree in a quantitative discipline (e.g. Mathematics, Statistics, Finance, Economics, Engineering).
- 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:
LinkedIn 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 financial services sector, especially those who work in credit risk and regulatory compliance. Attend industry events or webinars to connect with potential colleagues and learn more about the latest trends in IFRS9 modelling and stress testing.
✨Tip Number 2
Familiarise yourself with the specific regulatory frameworks relevant to the role, such as EBA, ECB, and PRA guidelines. This knowledge will not only help you understand the expectations of the position but also demonstrate your commitment to staying updated in the field.
✨Tip Number 3
Showcase your programming skills in Python and/or SAS by working on personal projects or contributing to open-source initiatives. This practical experience can set you apart from other candidates and provide concrete examples to discuss during interviews.
✨Tip Number 4
Prepare for interviews by practising common technical questions related to credit risk modelling and stress testing. Be ready to explain your thought process and problem-solving approach, as this will highlight your analytical skills and suitability for the role.
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 relevant experience in credit risk, IFRS9 modelling, and stress testing. Use specific examples from your past roles to demonstrate your expertise in these areas.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the role and the company. Mention your quantitative background and programming skills in Python or SAS, and explain how they align with the job requirements.
Highlight Relevant Skills: In your application, emphasise your understanding of European regulatory requirements and your experience with pricing techniques. This will show that you are well-versed in the necessary skills for the position.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in the financial services industry.
How to prepare for a job interview at LinkedIn
✨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 the European regulatory requirements related to credit risk, especially IFRS9 and stress testing. 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 credit risk modelling and stress testing. Practise articulating your thought process and how you would approach various challenges in these areas.
✨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.