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- Tasks: Assess and validate complex credit risk models while mentoring junior team members.
- Company: Join KPMG, a leading global consultancy shaping the UK economy.
- Benefits: Enjoy flexible working options, including remote work and collaborative spaces.
- Why this job: Be part of a diverse team making a real impact in financial audits.
- Qualifications: Proficiency in credit risk modelling and coding in SAS, Python, or R required.
- Other info: KPMG values diversity and inclusion, ensuring fair treatment for all applicants.
The predicted salary is between 43200 - 72000 £ per year.
Job description
Assistant Manager – Credit Risk Modelling
Base Location: London
Credit Risk Assurance team is a specialized function within KPMG\’s Audit Practice, responsible for reviewing and challenging complex statistical models used in financial audits. Our team comprises credit risk analysts from diverse quantitative backgrounds such as mathematics, engineering, physics, econometrics, and statistics.
Why Join KPMG
KPMG is one of the world\’s largest and most respected consultancy firms, supporting the UK through various economic cycles and upheavals. We stand alongside UK institutions and businesses that shape the nation\’s economy.
Our flexible working approach allows you to work at client sites, in our offices, or remotely. We are leveraging technology and collaborative spaces to empower our people to deliver outstanding results regardless of location.
What will you be doing?
- Assessing client model documentation (development, validation, monitoring) against accounting standards and industry practices.
- Annotating code from audited entities and reconciling code functionality with documentation.
- Reperforming outputs of audited entities\’ code by rerunning in appropriate software.
- Estimating model outputs independently using different assumptions.
- Organizing and executing workstreams for these tasks.
- Managing and mentoring junior team members.
What will you need to do it?
- Understanding relevant accounting and financial reporting standards (e.g., IFRS9, CECL).
- Proficiency in statistical techniques used in credit risk modeling (LGD, PD, EAD).
- Ability to read, interpret, and create software code in languages like SAS, Python, or R.
- Experience managing small teams and mentoring junior staff.
- Strong stakeholder management and relationship-building skills across all levels.
Skills we\’d love to see / Additional extras:
- Experience in financial services.
- Professional skepticism, objectivity, and independence to identify and resolve audit issues.
To apply, create a profile, upload your CV, and start your journey with KPMG.
Learn more about:
- Audit at KPMG
- Our firm
- Our inclusive culture
- Supporting applicants with disabilities
For additional support, see our application tips, values, competencies, and FAQs. KPMG is committed to diversity and inclusion, ensuring fair treatment for all candidates throughout the recruitment process.
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Assistant Manager - Credit Risk Modelling employer: KPMG-UnitedKingdom
Contact Detail:
KPMG-UnitedKingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Assistant Manager - Credit Risk Modelling
✨Tip Number 1
Familiarise yourself with the specific accounting standards and financial reporting frameworks mentioned in the job description, such as IFRS9 and CECL. This knowledge will not only help you understand the role better but also demonstrate your commitment and readiness to engage with the technical aspects of credit risk modelling.
✨Tip Number 2
Brush up on your coding skills, particularly in SAS, Python, or R. Being able to read, interpret, and create software code is crucial for this position, so consider working on small projects or contributing to open-source initiatives to showcase your proficiency.
✨Tip Number 3
Highlight any experience you have in managing teams or mentoring junior staff. Prepare examples of how you've successfully led a team or supported others in their development, as this will be a key aspect of the Assistant Manager role.
✨Tip Number 4
Network with professionals in the credit risk field, especially those who work at KPMG or similar firms. Engaging with industry peers can provide valuable insights into the company culture and expectations, which can be beneficial during interviews.
We think you need these skills to ace Assistant Manager - Credit Risk Modelling
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Assistant Manager - Credit Risk Modelling position. Familiarise yourself with the key skills needed, such as proficiency in statistical techniques and coding languages.
Tailor Your CV: Customise your CV to highlight relevant experience in credit risk modelling, team management, and stakeholder engagement. Use specific examples that demonstrate your expertise in statistical techniques and software coding.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the role and KPMG's values. Mention your understanding of accounting standards and how your background aligns with the company's needs. Be sure to express your enthusiasm for contributing to their Credit Risk Assurance team.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is crucial in the field of credit risk modelling.
How to prepare for a job interview at KPMG-UnitedKingdom
✨Know Your Models
Familiarise yourself with the statistical models relevant to credit risk, such as LGD, PD, and EAD. Be prepared to discuss how these models are developed, validated, and monitored, as well as their implications in financial audits.
✨Demonstrate Technical Proficiency
Showcase your coding skills in languages like SAS, Python, or R during the interview. You might be asked to interpret or create code snippets, so brush up on your technical knowledge and be ready to explain your thought process.
✨Highlight Team Management Experience
Since the role involves managing and mentoring junior team members, be ready to share examples of your leadership experience. Discuss how you've successfully guided teams in the past and the impact it had on project outcomes.
✨Understand Stakeholder Dynamics
Prepare to talk about your experience in stakeholder management. Think of examples where you built relationships across different levels and how you navigated challenges in communication or expectations.
