At a Glance
- Tasks: Join a dynamic team as a Risk Modelling Consultant, focusing on IRB modelling and client interactions.
- Company: Be part of a fast-growing consultancy that partners with top financial institutions in London.
- Benefits: Enjoy competitive commissions, a bonus scheme, healthcare, and potential equity in the company.
- Why this job: This role offers a chance to shape a boutique consultancy and make a real impact in finance.
- Qualifications: 3-7 years of IRB modelling experience, ideally with Python skills and a quantitative degree.
- Other info: Candidates must be UK residents and able to commute to London full-time.
The predicted salary is between 65000 - 90000 £ per year.
Job Description
Risk Modelling Consultant – IRB
For this role we can only accept applicants who have IRB Modelling experience and ideally skills in Python. You’ll be able to commute to London on a full time basis and be a UK Resident. There are some incredible benefits on offer here including super healthy client introduction commissions and a company Bonus scheme, healthcare etc4. You’ll be one of the first members of this Boutique Consultancy which means the potential to earn equity and share in the success of the Business.
The Client:
The Clientare a fast-growing 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, capital adequacy & Data Management. Central London based.
Requirements:
For this role we can only accept applicants who have 3-7 years' IRB Modelling experience and ideally skills in Python. You’ll be able to commute to London on a full time basis and be a UK Resident. You’ll have IRB Modelling experience, ideally in Mortgages though this isn’t a must. SQL / SAS OR Python and be smartly turned out – this is a client facing role. You’ll be educated in a quantitative discipline such as Economics, Finance, Statistics, Mathematics, or Financial Engineering and have solid UK based experience in a Bank or FI.
There will be a 2x stage interview process, initially Teams then face to face. We’re ideally looking for Candidates to start ASAP.
Salary from £65-90k Base
Keywords: Credit Risk Analyst, Modelling Analyst, Senior Credit Risk Analyst, Risk modeller, modelling analyst, Senior Analyst, IFRS9, IRB, Modelling, IFRS 9, Python, SAS, PhD, Quantitative, Quant, Analyst, Credit Risk Manager, Credit Risk Consultant
Risk Modelling Consultant - IRB employer: PeopleGenius
Contact Detail:
PeopleGenius Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Risk Modelling Consultant - IRB
✨Tip Number 1
Make sure to highlight your IRB Modelling experience during networking events or informal meet-ups. Engaging with professionals in the finance and risk analytics sectors can help you get noticed and potentially referred for the role.
✨Tip Number 2
Brush up on your Python skills, as this is a key requirement for the role. Consider working on personal projects or contributing to open-source projects that showcase your coding abilities in a risk modelling context.
✨Tip Number 3
Prepare for the interview process by practising common questions related to risk modelling and client-facing scenarios. Role-playing with a friend can help you articulate your thoughts clearly and confidently.
✨Tip Number 4
Research the consultancy's recent projects and clients. Being knowledgeable about their work will not only impress them but also allow you to tailor your responses to demonstrate how you can add value to their team.
We think you need these skills to ace Risk Modelling Consultant - IRB
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasise your IRB Modelling experience in your CV and cover letter. Detail specific projects or roles where you applied these skills, especially if they relate to mortgages or financial institutions.
Showcase Technical Skills: Since the role requires Python skills, include any relevant programming projects or experiences in your application. If you have experience with SQL or SAS, mention that too, as it adds value to your profile.
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Use keywords from the job posting, such as 'credit risk', 'stress testing', and 'data management', to demonstrate your alignment with the company's needs.
Prepare for Interviews: Anticipate questions related to your modelling experience and technical skills. Be ready to discuss your approach to risk analytics and how you've contributed to previous projects, as this will be crucial during the interview stages.
How to prepare for a job interview at PeopleGenius
✨Showcase Your IRB Modelling Experience
Make sure to highlight your 3-7 years of IRB modelling experience during the interview. Be prepared to discuss specific projects you've worked on, particularly those related to credit risk and how they align with the consultancy's focus.
✨Demonstrate Your Python Skills
Since the role ideally requires Python skills, be ready to discuss your proficiency in Python. You might even want to prepare for potential technical questions or scenarios where you can showcase your coding abilities.
✨Dress Smartly for Client Interaction
As this is a client-facing role, it's important to present yourself well. Dress smartly and professionally to make a good first impression, as it reflects your understanding of the consultancy's culture and values.
✨Prepare for Both Interview Stages
The interview process consists of two stages: an initial Teams interview followed by a face-to-face meeting. Prepare thoroughly for both formats, ensuring you can articulate your experience and fit for the role clearly and confidently.