As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities.  Our culture in Risk Management and Compliance is all about challenging the status quo and striving to be best-in-class.

As a Climate Risk Senior Associate within Credit Forecasting, you will play a key role in developing methodologies to identify and size climate risk for Consumer and Community Banking. You will demonstrate strong analytic & problem solving skills particularly related to consumer credit risk and economic modeling. The team you will be joining is accountable for identifying, quantifying, and monitoring climate risk and understanding how it manifests to the lines of business within Consumer and Community Banking. Additionally, you will be engaging with Risk Governance, Controls, and other internal partners to maintain and demonstrate compliance with reporting and data policies, procedures, and controls.

Job Responsibilities:

Collaborate with cross-functional teams across lines of business to integrate and align climate risk analytics with existing risk management processes within the firmDevelop and maintain methodologies for assessing and forecasting climate-related risk Analyze and interpret large datasets related to climate risk using Python, R, and other analytical toolsPrepare reports and presentations to communicate findings and recommendations to internal stakeholdersStay updated on the latest developments in climate risk analytics and relevant regulatory frameworks

Required qualifications, capabilities, and skills:

Bachelor's degree in a quantitative discipline (Economics, Statistics, Data Science, Actuarial Science, or related fields)3+ years of experience  in credit forecasting, economic scenario analysis, or other risk modeling applicationsStrong analytic and problem solving skills, with attention to detail in process documentation and data validation and governanceProficiency conducting statistical analysis with large datasets in Python or R Excellent written and verbal communication skills with the ability to present complex information clearly and concisely 

Preferred qualifications, capabilities, and skills:

Experience in climate or environmental science or climate risk management  Familiarity with data visualization tools and techniques, including GISAdvanced degree in quantitative/scientific field