At a Glance
- Tasks: Join a dynamic team to analyse and forecast loan losses across global markets.
- Company: Leading financial institution committed to diversity and innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborate with experts and gain exposure to cutting-edge financial practices.
- Why this job: Make a real impact in risk management while developing your analytical skills.
- Qualifications: Experience in IFRS 9 modelling and strong analytical abilities required.
The predicted salary is between 60000 - 80000 £ per year.
Overview
The Legal Entity Loss Forecasting team provides solutions to legal entities, including capital and stress loss assessment to assist Internal Capital Assessment Adequacy Process (ICAAP), regulatory prescribed exercise, climate stress testing. The team recently expanded its scope to lead IFRS 9 production.
Job responsibilities
- Participate in the production of IFRS 9 for JPMC's legal entities in EMEA, APAC and LATAM regions
- Participate in the building/enhancement of loss forecasting frameworks
- Leverage the firm's infrastructure to perform quantitative analysis on the legal entities portfolio
- Support the production of regulatory stress testing exercises, risk appetite and credit limit exercises as well as ad-hoc portfolio analytics asks
- Collect data from various sources, synthetize the information, perform analysis, and interpret results in order to assist in making recommendations which impact legal entities
- Prepare and present reports on risk analytics to technical and non-technical audiences as well as Senior Management audiences
- Get familiar with the various regulatory requirements governing our legal entity strategy and determine how to optimize our approach to stress testing
- Develop knowledge about the various stress testing platforms including ICAAP, IFRS9
- Exploit your critical thinking and problem solving skills daily to drive results
- Partner closely with Legal Entity Credit Risk, Finance, Quantitative Research and Technology, centrally and within legal entities, to assist in the understanding and enhancement of existing wholesale loan stress models
Required qualifications, capabilities and skills
- Experience in IFRS 9 modelling
- Bachelor's degree in Economics, Finance, Math/Statistics or other STEM majors
- Good understanding of bank stress testing, traditional credit products and credit risk management
- Proficient in analyzing large data sets using Tableau and Excel
- Analytical mindset and strong problem-solving abilities, capability to learn new knowledges and apply to work in short time
- Excellent communication skills, verbal as well as written
Preferred qualifications, capabilities and skills
- MBA/Master's degree in STEM or finance, FRM or CFA
- Experience in Python, SQL or R
Equal Opportunity Employer
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Wholesale Credit Risk, Loan Loss Forecasting, IFRS 9 Associate/Vice President employer: CFA Institute
Contact Detail:
CFA Institute Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Wholesale Credit Risk, Loan Loss Forecasting, IFRS 9 Associate/Vice President
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to IFRS 9 and credit risk. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your analytical skills! Bring examples of how you've tackled complex data sets or solved problems in previous roles. This will help you stand out as someone who can drive results in the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Wholesale Credit Risk, Loan Loss Forecasting, IFRS 9 Associate/Vice President
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with IFRS 9 modelling and any relevant quantitative analysis you've done. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about wholesale credit risk and how your background makes you a great fit for the role. Don’t forget to mention your analytical mindset and problem-solving skills!
Showcase Your Data Skills: Since this role involves analysing large data sets, be sure to mention your proficiency in tools like Tableau and Excel. If you have experience with Python, SQL, or R, let us know how you've used these in past projects!
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 don’t miss out on any important updates. Plus, we love seeing applications come in through our platform!
How to prepare for a job interview at CFA Institute
✨Know Your IFRS 9 Inside Out
Make sure you brush up on your knowledge of IFRS 9 modelling. Understand the key principles and how they apply to loss forecasting. Being able to discuss specific examples or case studies will show that you're not just familiar with the theory but can also apply it in practice.
✨Data Analysis is Key
Since the role involves analysing large data sets, get comfortable with tools like Tableau and Excel. Prepare to discuss your experience with these tools and maybe even bring along a sample analysis you've done. This will demonstrate your analytical mindset and problem-solving abilities.
✨Communicate Clearly
You’ll need to present reports to both technical and non-technical audiences, so practice explaining complex concepts in simple terms. Think about how you would explain your findings to someone without a finance background. Clear communication can set you apart from other candidates.
✨Understand Regulatory Requirements
Familiarise yourself with the regulatory landscape governing stress testing and credit risk management. Be prepared to discuss how you would optimise approaches to stress testing based on these regulations. Showing that you understand the bigger picture will impress your interviewers.