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- Tasks: Advise clients on credit risk standards and perform technical analysis for banking risk issues.
- Company: Join KPMG, a leading global consultancy with a rich history of supporting the UK.
- Benefits: Enjoy flexible work options, including remote work and part-time opportunities.
- Why this job: Be part of a growing team and make an impact in the financial sector.
- Qualifications: 3+ years in credit risk modeling; knowledge of IRB and IFRS9 required.
- Other info: Open to candidates across the UK; flexibility to work internationally.
The predicted salary is between 43200 - 72000 £ per year.
Credit Risk Assistant Manager – KPMG – Consulting www.kpmg88careers.co.uk/experienced-professional/#LeBlender.OfficeLocations The KPMG Consulting function is a cornerstone of our business. Operating from London we do work that matters, serving the country with diligence and expertise. KPMG is one of the world’s largest and most respected consultancies. We’ve supported the UK through times of war and peace, prosperity and recession, political and regulatory upheaval. We’ve proudly stood beside the institutions and businesses which make the UK what it is. By encompassing a wide range of disciplines across a breadth of areas such as Strategy, Forensic, Risk and Regulatory, People and Talent, and Operational and Financial Transformation, we become immersed in our clients’ organisations, applying sector knowledge and technology solutions to deliver the best possible outcomes and get it right first time. Why Join KPMG as a Credit Risk Assistant Manager? KPMG are currently looking for Credit Risk Assistant managers to take the next step in their career, with the team constantly growing there is no better time to join. These positions have become available due to new projects and ongoing projects within the FRM function. What will you be doing? • Advising clients on the impact of changing requirements in provision accounting standards (IFRS9) and Basel credit risk capital requirements (IRB). This will model review and validation activities such as: • Technical model development documentation review; • Assessment of model performance • Replication testing; and • Reviewing models’ against IRB regulatory requirements. • The individual will also be expected to perform technical analysis for workstreams within both IRB, IFRS9 and credit risk modelling engagements. • The individual will also be required to apply their skills to a broad range of banking risk related issues supporting both regional and national propositions. What will you need to do it? • Minimum 3 years’ experience working in a credit risk modelling role within a financial or professional services firm. • Practical experience in credit risk modelling techniques • Knowledge and practical experience in accounting and risk requirements as related to IRB, IFRS9, and other regulatory credit risk models • Detailed working knowledge and experience of all aspects of model development and validation including the following: • Data extraction and pre-processing • Modular model development • User acceptance testing • Model performance assessments • Relevant Sectoral experience – developing Retail/ Wholesale banking PD/EAD/LGD models • Knowledge and experience of credit risk processes, governance and documentation Key Skills: • Ability to communicate risk/finance requirements of IRB and/or IFRS9 to the reciprocal function, i.e. risk to finance and finance to risk • Ability to understand and execute programming code including SAS, R, Python • Flexibility and agility to contribute in a senior capacity to a broad range of banking risk engagements • Excellent oral / written communication, planning, project management, networking and influencing skills • Flexibility to work across the UK (and internationally) where required Our Locations: We are open to talk to Credit Risk Assistant managers in the UK as this is where the team is based. With 20 sites across the UK, we can potentially facilitate office work, working from home, flexible hours, and part-time options. If you have a need for flexibility, please register and discuss this with our team. Find out more: Within Consulting we have a range of divisions and specialisms. Click the links to find out more below: • Consulting at KPMG: www.kpmgcareers.co.uk/experienced-professional/consulting/ • ITs Her Future Women in Tech programme: www.kpmgcareers.co.uk/people-culture/it-s-her-future/ • KPMG Workability and Disability confidence: www.kpmgcareers.co.uk/experienced-professional/applying-to-kpmg/need-support-let-us-know/ For any additional support in applying, please click the links to find out more: • Applying to KPMG: www.kpmgcareers.co.uk/experienced-professional/applying-to-kpmg/ • Tips for interview: www.kpmgcareers.co.uk/experienced-professional/applying-to-kpmg/application-advice/ • KPMG values: www.kpmgcareers.co.uk/experienced-professional/applying-to-kpmg/our-values/ • KPMG Competencies: www.kpmgcareers.co.uk/experienced-professional/applying-to-kpmg/kpmg-competencies/ • KPMG Locations and FAQ: www.kpmgcareers.co.uk/faq/?category=Experienced+professionals
Credit Risk Assistant Manager employer: KPMG
Contact Detail:
KPMG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Assistant Manager
✨Tip Number 1
Familiarize yourself with the latest developments in IFRS9 and Basel credit risk capital requirements. Being well-versed in these areas will not only help you during interviews but also demonstrate your commitment to staying updated in the field.
✨Tip Number 2
Network with professionals already working at KPMG or in similar roles. Engaging with them can provide you with insider knowledge about the company culture and expectations, which can be invaluable during the interview process.
✨Tip Number 3
Brush up on your programming skills, especially in SAS, R, and Python. Being able to demonstrate your technical proficiency in these languages will set you apart from other candidates and show that you can contribute effectively to model development and validation.
✨Tip Number 4
Prepare to discuss specific examples of your experience in credit risk modelling. Highlighting your past projects and the impact they had will showcase your expertise and ability to handle the responsibilities of the Credit Risk Assistant Manager role.
We think you need these skills to ace Credit Risk Assistant Manager
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Credit Risk Assistant Manager position. Tailor your application to highlight your relevant experience in credit risk modelling and your knowledge of IFRS9 and IRB.
Highlight Relevant Experience: In your CV and cover letter, emphasize your minimum 3 years of experience in a credit risk modelling role. Provide specific examples of your work with model development, validation, and performance assessments.
Showcase Technical Skills: Demonstrate your programming skills in SAS, R, or Python. Mention any relevant projects where you applied these skills, especially in relation to credit risk processes and governance.
Communicate Effectively: Since excellent communication skills are essential for this role, ensure that your application reflects your ability to convey complex risk and finance concepts clearly. Use concise language and structure your documents well.
How to prepare for a job interview at KPMG
✨Showcase Your Technical Skills
Make sure to highlight your experience with credit risk modelling techniques and your proficiency in programming languages like SAS, R, or Python. Be prepared to discuss specific projects where you applied these skills.
✨Understand Regulatory Requirements
Familiarize yourself with IFRS9 and Basel credit risk capital requirements. Be ready to explain how you've navigated these regulations in past roles and how they impact credit risk modelling.
✨Demonstrate Communication Skills
Since the role requires communicating complex risk and finance requirements, practice explaining technical concepts in simple terms. Use examples from your experience to illustrate your ability to bridge the gap between risk and finance.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think of examples where you had to analyze model performance or conduct validation activities, and be ready to discuss your thought process.
