At a Glance
- Tasks: Develop and enhance economic capital and credit risk models while collaborating with a dynamic team.
- Company: Join Morgan McKinley, a leader in financial services with a focus on innovation.
- Benefits: Competitive salary, professional development opportunities, and a supportive work environment.
- Other info: Exciting projects and career growth in a fast-paced, collaborative setting.
- Why this job: Make a real impact in finance by improving risk models and driving change.
- Qualifications: 2-5 years in finance, strong stats knowledge, and programming skills in Python.
The predicted salary is between 60000 - 80000 € per year.
This role is part of the Portfolio Credit Analytics sub-team of Risk Analytics. The team is responsible for the development and maintenance of economic capital models, portfolio credit risk models, scenario based stress testing models, product specific stress testing models, and rating models. The candidate will participate in the development and maintenance of economic capital models, stress expected loss models, and other stress testing models. The candidate will work with other colleagues in the team, in the wider Risk Analytics Group, and in the Risk area, in particular credit risk managers and model validation.
KEY RESPONSIBILITIES
- Developing, maintaining and improving economic capital models and other models the team is responsible for such as ECL stress testing.
- Designing and running model validation tests, for both model assumptions and implementation.
- Investigating issues and proposing changes where there are model weaknesses.
- Specifying and testing system changes to implement improvements.
- Ad-hoc projects as required, including collaboration with business, Credit Risk Management and Model Validation.
- Investigating issues relating to the Credit Risk Models.
- Proactively contributing to wider Risk function initiatives and projects.
Required Skills
- Previous experience with statistical models in finance.
Desirable
- Previous experience in Economic Capital models, including PD, LGD and EAD modelling.
- Previous experience in Portfolio Credit Risk modelling.
Work Experience:
- 2 to 5 years experience in a Financial Services firm.
- Strong knowledge in statistics.
- Knowledge of advanced programming languages (Python).
Desirable
- Portfolio Credit Risk modelling.
- Knowledge of basic theory of default modelling.
Education / Qualifications:
- Highly numerate education (Maths, Statistics, Engineering, Computer Science) at MSc level or above.
- Excellent communication skills with the ability to adjust to different audiences.
- Highly motivated and innovative, able to work on own initiative.
- Excellent accuracy and attention to detail with an analytical mind-set.
- Good team player with professional attitude.
- Good time management and ability to prioritise.
- Ability to manage large workloads and tight deadlines, balancing urgent tasks and longer term projects.
- Strong decision making skills, the ability to demonstrate sound judgement.
- Strong problem solving skills.
- Strong numerical skills.
Portfolio Credit Risk Modelling AVP - Morgan McKinley in London employer: Morgan McKinley
Morgan McKinley is an exceptional employer that fosters a collaborative and innovative work culture, particularly within the Portfolio Credit Analytics team. Employees benefit from comprehensive professional development opportunities, competitive remuneration, and a supportive environment that encourages growth and creativity in tackling complex financial challenges. Located in a vibrant city, the company offers a dynamic workplace where talented individuals can thrive and make a meaningful impact in the field of risk analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Portfolio Credit Risk Modelling AVP - Morgan McKinley in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Morgan McKinley. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Be ready to discuss economic capital models and stress testing in detail. We want you to shine!
✨Tip Number 3
Showcase your problem-solving skills during interviews. Share examples of how you've tackled model weaknesses or improved processes in past roles. We love a good story!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate candidates like you!
We think you need these skills to ace Portfolio Credit Risk Modelling AVP - Morgan McKinley in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Portfolio Credit Risk Modelling role. Highlight your experience with statistical models and any relevant projects you've worked on in financial services.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about credit risk modelling. Share specific examples of your work with economic capital models or stress testing, and how you can contribute to our team.
Showcase Your Technical Skills:Since programming in Python is a key requirement, don’t forget to mention your proficiency in it. If you’ve worked on any relevant projects, include those details to demonstrate your technical expertise.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining our team!
How to prepare for a job interview at Morgan McKinley
✨Know Your Models Inside Out
Make sure you’re well-versed in the economic capital models and stress testing models mentioned in the job description. Brush up on your knowledge of PD, LGD, and EAD modelling, as well as any statistical models you've worked with before. Being able to discuss these confidently will show that you're not just familiar with the concepts but can also apply them.
✨Showcase Your Programming Skills
Since knowledge of advanced programming languages like Python is essential, be prepared to discuss your experience with it. Bring examples of how you've used Python in your previous roles, especially in relation to model validation or development. If possible, have a small project or code snippet ready to demonstrate your skills.
✨Prepare for Scenario-Based Questions
Expect questions that test your problem-solving abilities and decision-making skills. Think of scenarios where you had to investigate model weaknesses or propose changes. Prepare to explain your thought process and the outcomes of your actions, as this will highlight your analytical mindset and attention to detail.
✨Communicate Effectively
Given the importance of communication skills in this role, practice explaining complex concepts in simple terms. Be ready to adjust your communication style based on who you’re speaking to, whether it’s a technical audience or business stakeholders. This will demonstrate your ability to collaborate effectively within the team and across departments.
