Wholesale Credit Risk, Loan Loss Forecasting, IFRS 9
il y a 16 heures
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.
As an Associate within our Legal Entity Loss Forecasting team, you will participate in IFRS 9 and ICAAP production of numerous Legal Entities. You will be embedded in a global team and interact with various stakeholders. As an Associate, you will be responsible for understanding specific regulatory requirements and guaranteeing adequate application and consistency of methodologies.
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
- Fluency in English is a must
- 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
- First experience in IFRS 9 modelling
- 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
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