JPMorgan Wholesale Credit Risk Loan Loss Forecasting IFRS – Associate genders 

Germany, Hesse, Frankfurt 

83050892

Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

As an Associate withinLegal Entity Wholesale Credit Risk Stress Testing team, you will be part of the leading IFRS 9 production of numerous Legal Entities. You will be embedded in a global team and interact with various stakeholders and will be responsible for understanding specific regulatory requirements and guaranteeing adequate application and consistency of methodologies.

Job responsibilities

• Lead production of IFRS 9 for JPMC’s legal entities in EMEA, APAC and LATAM regions
• Participate in the building/enhancement of loss forecasting frameworks
• Support the production of regulatory stress testing exercises
• 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, Economic Capital
• 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