Climate Risk Modeling Associate

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.

As a Climate Risk Associate within Risk Management and Compliance, you are at the heart of maintaining JPMorgan Chase's strength and resilience. You will play a crucial role in helping the firm grow responsibly by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers, and communities. In Risk Management and Compliance, we challenge the status quo and strive to be best-in-class.

Job Responsibilities:

• Analyze and interpret large datasets related to climate risk using Python and other analytical tools
• Develop and maintain methodologies for assessing and forecasting climate-related risk 
• Collaborate with cross-functional teams to integrate and align climate risk analytics with existing risk management processes across the firm
• Prepare reports and presentations to communicate findings and recommendations to internal stakeholders
• Stay updated on the latest developments in climate risk analytics and relevant regulatory frameworks

Required qualifications, capabilities, and skills:

• BA/BS degree in Data Science, Statistics, Computer Science, or related field
• Proven experience in data analysis and modeling, working knowledge of data engineering fundamentals
• Proficiency in Python 
• Familiarity with data visualization tools and techniques, including GIS
• Strong analytic and problem solving skills, with attention to detail in process documentation and data validation
• Excellent communication skills with the ability to present complex information clearly and concisely 

Preferred qualifications, capabilities, and skills:

• Knowledge of credit risk management and governance concepts
• Understanding of climate or environmental science and regulatory frameworks related to climate risk
• Advanced degree in quantitative/scientific field