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- Tasks: Lead Credit Risk modelling, reporting, and analysis while managing stakeholder relationships.
- Company: Join a dynamic team in London, focusing on innovative credit risk solutions.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Make an impact in credit risk strategy and work with cutting-edge data models.
- Qualifications: Degree in Maths, Physics, or Engineering; 2+ years in Credit Risk; advanced coding skills required.
- Other info: No sponsorship available; applicants must be eligible to work in the UK.
The predicted salary is between 60000 - 84000 £ per year.
£70K-£82K
London (Hybrid- 2 days a week)
This role has a broad remit and covers modelling, reporting, analysis, and strategy. You will also be expected to contribute to other Credit Risk projects and initiatives as required. This role would suit somebody from a modelling background with relevant experience of other aspects of Credit Risk.
Key Responsibilities:- Own a suite of Credit Risk models - including application scorecards, PD models and IFRS9 / ECL models. Primarily existing models, but you should be able to build bespoke models from scratch when required.
- Ensure the timely delivery of routine and ad hoc Credit Risk reporting - this includes the production of monthly reporting for Credit Risk Committee.
- Ad hoc analysis - carrying out analysis and deep dives to understand emerging trends within our new lending and loan books, and making recommendations for change.
- Projects - represent Credit Risk on cross-team projects.
- Stakeholder management - you must be able to engage with and influence colleagues and stakeholders at all levels.
- Data Governance - Maintain data quality assurance and build a credit data dictionary.
- Strong modelling background- specifically ECL models
- A degree in Maths, Physics, Engineering or similar.
- Advanced coding skills in SAS, SQL, or Python.
- 2+ years' experience gained in a Credit Risk team for a retail lending business
- Ability to work in a fast-changing environment with new teams and data structures.
- Strong presentation and communication skills.
- The ability to confidently manage stakeholders of all levels and present material at board level committees.
Applicants must be located and eligible to work in the UK without sponsorship.
Please note, should feedback not be received within 28 days, unfortunately your application has been unsuccessful.
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Lead Credit Risk Modelling Analyst- ECL employer: MERJE Ltd
Contact Detail:
MERJE Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Credit Risk Modelling Analyst- ECL
✨Tip Number 1
Familiarise yourself with the latest trends in Credit Risk modelling, especially around ECL models. This will not only help you during interviews but also demonstrate your commitment to staying updated in the field.
✨Tip Number 2
Network with professionals in the Credit Risk space, particularly those who have experience with ECL models. Engaging in discussions or attending relevant webinars can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully managed stakeholders or delivered impactful analyses. Having concrete examples ready will showcase your experience and ability to contribute to cross-team projects.
✨Tip Number 4
Brush up on your coding skills in SAS, SQL, or Python. Being able to demonstrate your technical proficiency during the interview can set you apart from other candidates.
We think you need these skills to ace Lead Credit Risk Modelling Analyst- ECL
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in credit risk modelling, particularly with ECL models. Use specific examples to demonstrate your skills in SAS, SQL, or Python, and mention any projects that showcase your ability to build bespoke models.
Craft a Strong Cover Letter: Write a cover letter that clearly outlines your motivation for applying to this role. Emphasise your experience in stakeholder management and your ability to communicate complex data insights effectively, as these are key requirements for the position.
Showcase Your Analytical Skills: In your application, provide examples of how you've conducted ad hoc analysis or deep dives into data trends. Highlight any recommendations you've made based on your findings, as this demonstrates your analytical capabilities and strategic thinking.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or inconsistencies. A polished application reflects your attention to detail, which is crucial in a role that involves data governance and reporting.
How to prepare for a job interview at MERJE Ltd
✨Showcase Your Modelling Expertise
Be prepared to discuss your experience with ECL models and other credit risk models in detail. Highlight specific projects where you built or improved models, and be ready to explain your thought process and methodologies.
✨Demonstrate Stakeholder Management Skills
Since the role requires engaging with stakeholders at various levels, think of examples where you've successfully influenced decisions or communicated complex information clearly. Practice articulating these experiences succinctly.
✨Prepare for Technical Questions
Expect questions related to SAS, SQL, or Python coding. Brush up on your technical skills and be ready to solve problems or answer scenario-based questions that test your analytical abilities.
✨Understand the Company’s Credit Risk Strategy
Research the company's approach to credit risk and any recent initiatives they’ve undertaken. This will not only help you answer questions but also allow you to ask insightful questions, showing your genuine interest in the role.
