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- Tasks: Lead the design and validation of credit risk models for top financial institutions.
- Company: Join a fast-growing boutique consultancy specializing in risk analytics and modeling services.
- Benefits: Be part of a small team with significant growth potential and impactful projects.
- Why this job: This is a unique chance to shape your career at a consultancy with major clients and innovative solutions.
- Qualifications: Expertise in SAS or Python, strong understanding of Basel and IFRS 9 regulations required.
- Other info: As the 3rd hire, you'll have a direct impact on the company's future.
The predicted salary is between 54000 - 84000 £ per year.
Job Description
Our client is a fast-growing boutique consultancy specialising in risk analytics and modelling services for leading financial institutions. Working with Tier 1 banks and other major clients, they provide cutting-edge solutions in credit risk, stress testing, and capital management. As their 3rd hire, this is a rare opportunity to join at the ground level of a consultancy with significant growth potential.
Key Responsibilities and Required Skills:
- Modelling Expertise: Lead the design, development, and validation of credit risk models, with a strong focus on IFRS 9. Experience with IRB and Stress Testing frameworks is highly desirable.
- Regulatory Knowledge: Strong understanding of Basel and IFRS 9 regulatory frameworks, ensuring compliance in all model development processes.
- Software: Proficiency in SAS or Python is a must for quantitative analysis, risk modelling, and automation. Experience with R is desirable.
- Quantitative Risk Modelling: Develop complex statistical models, such as logistic regression, time series, and decision trees, to address client-specific challenges and objectives.
- Project Management: Manage end-to-end modelling projects, ensuring successful delivery from data analysis to presenting actionable insights to clients and stakeholders.
- Stakeholder Communication: Effectively communicate complex modelling results and insights to both technical and non-technical stakeholders, including senior executives.
- Experience: A minimum of 5 years of experience in credit risk modelling and quantitative financial analysis, with significant expertise in IFRS 9.
- Education: Masters or PhD in a quantitative discipline such as Economics, Finance, Statistics, Mathematics, or Financial Engineering.
Additional Opportunities:
In addition to technical work, you will assist in business development, building and maintaining client relationships, and contribute to the consultancy’s growth. This is a great opportunity to learn about client management and the commercial aspects of consulting, providing you with a well-rounded skill set beyond just modelling.
Why Join?
- Equity & Share Options: As one of the first 4 members of the consultancy, you’ll receive share options, offering the unique opportunity to earn more equity than future consultants.
- Growth Potential: Be part of an ambitious consultancy with huge growth potential, shaping its future direction and success.
- High-Profile Clients: Work with top-tier banks and financial institutions, delivering impactful, high-level projects.
- Flexible Working: Benefit from a hybrid working model with a central London office in Moorgate.
- Leadership Role: Take on a leadership role early, influencing both project outcomes and business strategy.
Senior Credit Risk Consultant employer: Allerton Park Recruitment Solutions
Contact Detail:
Allerton Park Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Credit Risk Consultant
✨Tip Number 1
Make sure to showcase your experience with credit risk models, especially those related to IFRS 9. Highlight any specific projects where you led the design or validation of these models, as this will demonstrate your expertise in a key area for the role.
✨Tip Number 2
Familiarize yourself with the latest developments in Basel and IFRS 9 regulations. Being able to discuss recent changes or trends during your interview will show that you are proactive and knowledgeable about the regulatory landscape.
✨Tip Number 3
Since proficiency in SAS or Python is essential, consider preparing a brief demonstration of your skills in these programming languages. This could be a small project or analysis you've done that showcases your ability to handle quantitative risk modelling.
✨Tip Number 4
Emphasize your project management skills by discussing how you've successfully managed end-to-end modelling projects in the past. Be ready to share examples of how you communicated insights to stakeholders and ensured project delivery.
We think you need these skills to ace Senior Credit Risk Consultant
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and required skills for the Senior Credit Risk Consultant position. Tailor your application to highlight your relevant experience in credit risk modelling, regulatory knowledge, and software proficiency.
Highlight Your Expertise: In your CV and cover letter, emphasize your modelling expertise, particularly with IFRS 9, IRB, and stress testing frameworks. Provide specific examples of projects where you've successfully developed or validated credit risk models.
Showcase Software Skills: Clearly outline your proficiency in SAS or Python, as well as any experience with R. Mention specific projects or tasks where you utilized these tools for quantitative analysis and risk modelling.
Communicate Effectively: Demonstrate your ability to communicate complex ideas clearly. In your application, include examples of how you've managed stakeholder communication and presented insights from your modelling projects.
How to prepare for a job interview at Allerton Park Recruitment Solutions
✨Showcase Your Modelling Expertise
Be prepared to discuss your experience with credit risk models, particularly focusing on IFRS 9. Highlight specific projects where you led the design and validation of models, and be ready to explain your approach and the outcomes.
✨Demonstrate Regulatory Knowledge
Familiarize yourself with Basel and IFRS 9 frameworks. During the interview, articulate how you have ensured compliance in past projects and how you stay updated on regulatory changes that impact model development.
✨Highlight Software Proficiency
Make sure to emphasize your skills in SAS or Python, as these are crucial for the role. Prepare examples of how you've used these tools for quantitative analysis and risk modelling, and if applicable, mention any experience with R.
✨Communicate Effectively
Since stakeholder communication is key, practice explaining complex statistical concepts in simple terms. Be ready to share examples of how you've successfully presented insights to clients and managed project expectations.
