Risk Managment - Wholesale Commercial Real Estate (CRE) Portfolio Analytics - Senior Associate

As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase 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 thinking outside the box, challenging the status quo and striving to be best-in-class.

As a Senior Associate on the Wholesale Commercial Real Estate (CRE) Portfolio Analytics team, you will be responsible for the research and evaluation of commercial real estate market trends and economic impacts on a >$200 billion CRE portfolio.

Your role will involve conducting in-depth analyses of various CRE property types to provide valuable insights and data-driven recommendations that will enhance our understanding of credit risk within the wholesale sector.

By leveraging your expertise, you will contribute to the development of robust analytical frameworks and methodologies that will support informed decision-making and strategic planning within the organization.

Job Responsibilities:


* Evaluate CRE data including portfolio concentrations, client and property financials, appraisal, macro-economic data, and real estate market trends and assess the impacts on loan performance and risk grading across all property types


* Analyze CRE loan risk grading methodologies to identify opportunities for process optimization and more efficient decision-making, leveraging loan characteristics, key performance metrics, and industry/sector trends.

Partner with technology/production partners for any use-case/solution deployment


* Manage end to end portfolio analytics for Multifamily property type within the CRE business


* Lead thematic and portfolio research initiatives focused on identifying and analyzing emerging risk trends.

This involves synthesizing data and insights to understand how these trends impact industry dynamics and credit risk, thereby informing the development of proactive risk management strategies


* Utilize strong Python and SQL skills to efficiently manage and manipulate large data sets.

This includes performing backtesting and conducting detailed portfolio analytics to validate models and ensure the robustness of credit risk assessments.


* (Optional) Apply Large Language Model (LLM) skills to synthesize information from multiple sources, generating systematic and comprehensive reports.

This capability will enhance the ability to integrate diverse data points and insights into cohesive analyses that support strategic decision-making.


* Develop/refine Risk and Strength Assessment (RSA) factors to create analytics-driven market and portfolio insights and indicators, enabling continuous monitoring frameworks for proactive risk identification


* Partner with modeling teams for CRE grading model back-testing, ongoing performance monitoring...