CRE Portfolio Risk Analyst - Python & SQL

Testing Site - JPMC; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health benefits

On-site wellness centers

Retirement savings plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorgan Chase & Co. seeks a Wholesale Commercial Real Estate Portfolio Analytics Associate to evaluate CRE market trends and support risk assessment across a >$200B CRE portfolio.

You will conduct in-depth analyses of property types and contribute to data-driven recommendations for credit risk management. The role requires 3+ years in wholesale credit risk, strong Python/SQL skills, and experience with dashboards and data visualization.

Qualifications

• 3+ years in Wholesale Credit Risk, market analysis or economic research.
• Strong proficiency in Excel and PowerPoint with dashboard familiarity.
• Proficient in Python and SQL for data manipulation and backtesting.
• Experience with data visualization tools (Tableau/QlikSense) is a plus.

Responsibilities

• Evaluate CRE data and assess impacts on loan performance and risk across property types.
• Analyze CRE loan risk grading methodologies for process optimization.
• Lead portfolio research on emerging risk trends and inform risk strategies.
• Leverage Python/SQL to manage large datasets and validate risk models.
• Apply LLM techniques to synthesize information into comprehensive reports.
• Develop RSA factors for analytics-driven market and portfolio insights.
• Collaborate with modeling teams on CRE grading model validation.
• Coordinate with senior stakeholders on risk segmentation and analyses.

Skills

Python

SQL

Excel

PowerPoint

Analytical thinking

Communication

Teamwork

Education

Bachelor's or Master's in Mathematics/Statistics/Finance

Tools

Tableau

QlikSense

Alteryx

Job description

JPMorgan Chase & Co. seeks a Wholesale Commercial Real Estate Portfolio Analytics Associate to evaluate CRE market trends and support risk assessment across a >$200B CRE portfolio.

You will conduct in-depth analyses of property types and contribute to data-driven recommendations for credit risk management. The role requires 3+ years in wholesale credit risk, strong Python/SQL skills, and experience with dashboards and data visualization.