At a Glance
- Tasks: Develop and validate credit risk models while collaborating with industry experts.
- Company: Join a leading advisory firm in the financial services sector.
- Benefits: Enjoy a competitive salary, hybrid work model, and professional growth opportunities.
- Other info: Dynamic environment with opportunities for career advancement and skill development.
- Why this job: Make a real impact in the financial world by tackling complex regulatory challenges.
- Qualifications: Numerical degree required; coding skills and teamwork experience are essential.
The predicted salary is between 55000 - 65000 £ per year.
We work collaboratively with our financial services industry clients to design, build and implement credit risk models. We advise and support a diverse group of clients on how best to deliver value in the face of a changing and complex regulatory agenda. Our work typically covers the development and validation of operational scorecards, IRB, Credit Risk, IFRS 9, forecasting, stress testing and climate risk models.
Responsibilities
- Perform credit risk model development and validation activities, including model development/validation initiation and requirements capture, methodology design, model coding, engaging with business experts, model testing, documentation and review.
- Work includes model development and validation of operational scorecards, IRB capital models for Pillar 1 Credit Risk, IFRS 9 impairment models, stress testing models and climate risk models.
- Help stakeholders articulate and navigate their modelling requirements, including regulatory requirements from the perspective of interpretation choices and technical modelling choices, and manage expectations around compromises.
- Contribute to go-to-market activities including thought leadership, marketing, eminence and proposal development.
- Keep up to date with market trends including current client challenges, emerging industry themes and latest developments in analytics and modelling.
- Help manage and grow the business in terms of both scale and profitability.
- Review large volumes of information quickly to identify and disseminate key points in a coherent manner.
Qualifications
Essential attributes include:
- A numerical degree or equivalent (Mathematics, Engineering, Physics, Operational Research, Computer Science).
- A Master's degree in a relevant quantitative/finance discipline or professional qualification such as PRMIA, GARP, CFA would be an advantage.
- Experience with coding (language not specified) or ability to break down an applied math problem into arithmetic and logical steps.
- A strong work ethic and a professional and personable demeanor.
- High personal standards regarding the quality of your own work.
- Ability to work effectively as part of a team, meeting demanding deadlines.
Additional experience:
- Financial Services experience as part of a Financial Services Institution, in advisory or consulting capacity to similar organisations or in regulation of such institutions, particularly in Retail/Commercial/Corporate Banking Credit Risk.
- Credit Risk Modelling experience (PD/LGD/EAD, Basel II & III, operational scorecards, IFRS 9, stress testing models including time series techniques) for banking book exposures.
- Experience interpreting regulation, consulting diverse stakeholders and building consensus during decision making.
- Experience with credit risk management and delivery software used for credit risk management and model execution across the customer lifecycle.
- Credit risk management, modelling or business expertise within a Retail/Commercial or Corporate bank, with ability to apply technical financial services regulation to practical scenarios and advise on strategic impacts.
- Highly motivated with a proven track record of working on own initiative in a challenging/dynamic environment.
- Strong interpersonal and influencing skills, including oral and written communication of technical concepts to a non‑technical audience.
- Strong IT skills including Microsoft applications (Word, Excel, PowerPoint) and statistical coding applications (Python, R, SAS).
Industry Focus
The role is within Regulatory & Financial Risk, providing advisory services across the risk and regulatory landscape to help clients move beyond minimum compliance standards to strategically create a responsible, sustainable future.
Compliance and Independence
Regulation and controls are standard practice. Certain colleagues must abide by specific personal independence constraints (e.g., financial interests and employment relationships). You may not hold certain financial interests with audit clients nor hold a secondary employment role with SEC audit clients while employed by the firm.
Location and Work Model
You will be based in London with a hybrid working policy. Depending on role requirements, you may work in the local office, virtual collaboration spaces, client sites or remotely, with face‑to‑face interactions as needed.
Credit Risk Modeling Specialist | IRB, IFRS9 & Stress Testing employer: Hm Revenue & Customs (Hmrc)
As a Credit Risk Modeling Specialist in London, you will thrive in a dynamic and collaborative work environment that prioritises employee growth and development. Our company offers a hybrid working model, allowing for flexibility while engaging with diverse clients in the financial services sector, ensuring you stay at the forefront of industry trends and regulatory changes. With a strong emphasis on teamwork and high professional standards, we provide ample opportunities for meaningful contributions and career advancement.
Contact Details:
Hm Revenue & Customs (Hmrc) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Credit Risk Modeling Specialist | IRB, IFRS9 & Stress Testing
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services industry, especially those who work with credit risk models. Attend industry events or webinars and don’t be shy about introducing yourself – you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your experience with credit risk modelling, including any projects or case studies. This will give potential employers a taste of what you can bring to the table and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with IRB, IFRS9, and stress testing models. Practice explaining complex concepts in simple terms – it’s all about making a connection with your interviewers!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who are passionate about credit risk modelling. Keep an eye on our job postings and make sure your application stands out by tailoring it to the specific role.
We think you need these skills to ace Credit Risk Modeling Specialist | IRB, IFRS9 & Stress Testing
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Credit Risk Modeling Specialist. Highlight your relevant experience in credit risk modelling, coding skills, and any financial services background. We want to see how your unique skills fit into our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about credit risk modelling and how you can contribute to our mission at StudySmarter. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills:Don’t forget to mention your technical skills, especially in coding and data analysis. If you've worked with Python, R, or any statistical applications, let us know! We’re looking for someone who can dive deep into the numbers.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Hm Revenue & Customs (Hmrc)
✨Know Your Models Inside Out
Make sure you’re well-versed in credit risk models, especially IRB and IFRS 9. Brush up on your understanding of model development and validation processes, as well as the latest regulatory requirements. Being able to discuss these topics confidently will show that you’re not just familiar with the theory but can apply it practically.
✨Showcase Your Coding Skills
Since coding is a key part of this role, be prepared to discuss your experience with programming languages like Python or R. Bring examples of how you've used coding to solve complex problems or develop models. This will demonstrate your technical prowess and ability to tackle real-world challenges.
✨Understand the Business Context
Familiarise yourself with the financial services landscape and current market trends. Be ready to discuss how credit risk modelling fits into broader business strategies and regulatory frameworks. This shows that you can think beyond the numbers and understand the implications of your work.
✨Prepare for Stakeholder Engagement
Expect questions about how you would manage stakeholder expectations and communicate complex concepts to non-technical audiences. Think of examples from your past experiences where you successfully navigated these situations. This will highlight your interpersonal skills and ability to influence decision-making.
