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- Tasks: Support clients in enhancing credit measurement capabilities and model development.
- Company: Leading global consultancy with a focus on innovation and client success.
- Benefits: Flexible working policy, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the financial services industry.
- Qualifications: Expertise in credit modelling and advanced skills in SAS, SQL, Python, or R.
- Other info: Inclusive culture that values contributions and fosters talent development.
The predicted salary is between 36000 - 60000 £ per year.
Our client, a leading global consultancy, is looking to recruit a Credit Risk Analytics and Modelling Assistant Manager to help clients improve and develop their credit measurement capabilities focusing on IFRS9, IRB and stress testing approaches across the full range of credit asset classes. The Assistant Manager will benefit from a flexible working policy.
Role Responsibilities
- Providing credit measurement modelling and analytics services, including supporting 1st Line teams with the build of new models or improvement/review of existing models, support to 2nd Line oversight/model review functions or to 3rd Line Internal Audit teams.
- Helping clients with designing and improving their wider credit measurement ecosystems; for example practices around insight into movements, data, controls, model risk management, model monitoring and maintenance, reporting and external disclosure.
- Supporting audit of IFRS9 and assurance of RWA through challenge of our clients methodological approaches and quality of implementation to identify material weaknesses or areas of concern.
- Supporting other credit measurement-related projects such as acquisition due diligence, stress testing and Asset Quality Reviews.
- Building long-term relationships with clients to be regarded as a trusted advisor.
- Managing a diverse team and building an inclusive culture where people are recognised for their contribution.
Professional experience
- Expert credit modelling skills and experience in the development, delivery and/or validation of credit risk models under one or more of the IFRS9, IRB and forecasting/stress testing regimes.
- Advanced skills with modelling software such as SAS, SQL, MS Excel (including VBA), Python, R.
- Excellence in ability to communicate complex concepts to non-expert audiences.
- Good understanding of the financial services industry and the credit fundamentals of different asset classes.
- Project management and leadership skills.
- Experience of developing talent and coaching a team.
- Ability to think creatively, generate innovative ideas, challenge the status quo and deliver effectively.
- Knowledge of current economic and market trends.
- Experience interacting with regulators and/or auditors.
- Commercial understanding of the use and business consequences of IFRS9 and capital rating system outputs.
- Understanding of wider rating systems concepts including data, systems, controls, use test etc.
- Understanding of the changing regulatory environment as it relates to credit measurement.
Credit Risk Analytics and Modelling - Assistant Manager in London employer: Campion Pickworth
Contact Detail:
Campion Pickworth Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Analytics and Modelling - Assistant Manager in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and consultancy sectors. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Make sure you can confidently discuss credit risk models and analytics. Practise explaining complex concepts in simple terms – it’ll impress interviewers and show you’re a great communicator.
✨Tip Number 3
Showcase your problem-solving skills! Be ready to share examples of how you've tackled challenges in previous roles, especially around IFRS9 or stress testing. This will demonstrate your ability to think creatively and deliver effective solutions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that Assistant Manager role. Plus, it’s a great way to stay updated on new opportunities tailored to your skills in credit risk analytics.
We think you need these skills to ace Credit Risk Analytics and Modelling - Assistant Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Credit Risk Analytics and Modelling Assistant Manager. Highlight your experience with credit risk models, IFRS9, and any relevant software skills like SAS or Python. We want to see how your background fits perfectly with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about credit risk analytics and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description. We love a good story!
Showcase Your Soft Skills: While technical skills are crucial, don’t forget to showcase your soft skills too! Communication, project management, and leadership abilities are key for this role. We want to know how you can build relationships and lead a diverse team effectively.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Campion Pickworth
✨Know Your Models Inside Out
Make sure you’re well-versed in credit risk models, especially IFRS9 and IRB. Be ready to discuss your experience with model development, validation, and any specific software like SAS or Python that you've used. This will show your technical expertise and confidence.
✨Showcase Your Communication Skills
Prepare to explain complex concepts in simple terms. Think about how you can break down your previous projects for a non-expert audience. This is crucial as the role involves liaising with various teams and clients who may not have a technical background.
✨Demonstrate Your Leadership Qualities
Be ready to share examples of how you've managed teams or projects in the past. Highlight your ability to build an inclusive culture and develop talent within your team. This will resonate well with the interviewers looking for someone who can lead effectively.
✨Stay Updated on Regulatory Changes
Brush up on the latest trends and changes in the regulatory environment related to credit measurement. Being knowledgeable about current economic conditions and their impact on credit risk will position you as a well-informed candidate who understands the bigger picture.
