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JPMorgan Wholesale Credit Loss Forecasting Analyst 
France, Ile-de-France 
80852224

26.06.2024

As a Wholesale Credit Loss Forecasting Analyst within Credit Risk Stress Testing, you will oversee the complete Bank’s Internal Capital Assessment Adequacy Process (ICAAP) and support decision making via technical analysis of stress testing results. The Wholesale Credit Risk Stress Testing team supporting numerous Legal Entities credit capital requirements through the use of various stress testing model. You will be embedded in a global team and interact with various stakeholders.

Job responsibilities

  • Participate in the building/enhancement of loss forecasting frameworks for JPMC’s legal entities in EMEA, APAC and LATAM regions
  • Support the production of regular stress testing, 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
  • Develop knowledge about the various stress testing platforms including ICAAP, IFRS9, Economic Capital
  • Get familiar with the various regulatory requirements governing our legal entity strategy and determine how to optimize our approach to stress testing
  • 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
  • Excellent communication skills, verbal as well as written

Preferred qualifications, capabilities and skills

  • MBA/Master’s degree in STEM or finance, FRM or CFA
  • First experience in credit risk analytics, loss forecasting or risk modelling
  • Experience in Python, SQL or R