Wholesale Credit Risk Portfolio Analytics - Associate

As a Wholesale Credit Risk Portfolio Analytics - Associate in the Wholesale Portfolio Analytics - Industry Analytics team, you will contribute to portfolio analytics and industry research initiatives supporting credit risk management. You will conduct both quantitative and qualitative analyses across industries and portfolios, helping us identify trends and emerging risks. You will also support the development of analytical frameworks that enable informed decision-making. Working closely with stakeholders, you will help translate complex data into meaningful insights that drive strategy.,

• Produce recurring and ad hoc portfolio analytics, including concentrations, rating migration, emerging risks, and performance trends
• Transform large datasets into actionable insights for credit officers and senior stakeholders
• Conduct thematic deep dives on priority risk topics
• Design and execute stress testing and sensitivity analyses across scenarios
• Develop and refine industry models to forecast financial outcomes based on macroeconomic indicators
• Utilize Python and SQL to manage, manipulate, and analyze large datasets
• Perform backtesting and validate models to ensure robust credit risk assessments
• Lead portfolio and thematic research to identify emerging risk trends
• Apply large language model techniques to synthesize structured insights from unstructured data
• Collaborate with cross-functional teams to integrate analytics into risk management frameworks
• Present analytical findings and insights clearly to senior stakeholders, Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
  
  Bachelor's or Master's degree in Mathematics, Statistics, Economics, Finance, or a related quantitative field
• Experience in financial risk analytics, credit risk management, or data science
• Proficiency in Python, R, or SQL
• Strong analytical and problem-solving skills
• Ability to work with large and complex datasets
• Strong written and verbal communication skills
• Ability to present complex analysis in a clear and structured manner
• Strong collaboration and teamwork skills
• High attention to detail and adaptability
• Ability to build relationships with internal stakeholders
• Interest in applying modern technologies within financial services
Preferred qualifications, capabilities, and skills
• Experience in quantitative modeling using Python
• Experience in publishing industry research or analytical reports
  
  J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives., Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.