If you have a quantitative profile, are strong in communication, willing to learn and ready to make an impact, we are looking for you. We encourage junior applications with a strong academic track record. This is an opportunity to work in a highly international environment with main collaboration partners in New York, London, and Mumbai.
As a Credit Risk Modelling Analyst / Associate within the Risk Management team, you will be involved in quantitative modelling topics, macro- and micro-economic concepts, risk driver analysis, global/local risk scenarios and the diversity of business present in JP Morgan SE. You will be a part of the team, which is the legal entity owner of the IFRS credit model and works on model and stress topics for wholesale credit.
Job responsibilities
1. Perform IFRS modelling topics and allowance calculation
2. Interact with firmwide modelling teams, local risk management and finance function and the regulator
3. Improve existing risk models
4. Leverage the firm’s infrastructure to perform quantitative analysis on the JP Morgan SE portfolio
5. Analyze the implications of firmwide solutions as well as the appropriateness for the local portfolio
6. Work on the approach / methodology for Stress test exercises
7. Cooperate closely with quantitative research teams around the globe
8. Interact with regulators on all aspects counterparty credit risk modelling
Required qualifications, capabilities, and skills
9. Master’s in Statistics, Data Analytics, Economics, Math, Computer Science or equivalent discipline
10. Experience in Python and/or R
11. An understanding of SQL, data manipulation and extraction
12. Strong interpersonal skills in communication as well as collaboration
13. Deep understanding of statistical methods and modelling approaches
14. Strong quantitative, analytical and problem solving skills
15. Eagerness to learn about Credit Risk, Risk Parameters, Regulatory and Accounting concepts
Preferred qualifications, capabilities, and skills
16. First working experiences in modelling / credit risk
17. Data Visualization tools like Tableau, Qlik View, Power BI etc.
18. Knowledge on IFRS 9 credit risk topics
19. Experience with banking regulation