Counterparty Risk Analytics & AI Dashboard Analyst

JPMorgan Chase & Co.; Buenos Aires; Remote; ARS 1,800,000 - 3,000,000; Full time

Job summary

JPMorgan Chase & Co. is seeking an Analyst in Counterparty Credit Risk (CCR) Methodology in Buenos Aires to develop methodologies, design stress scenarios, and address analytical challenges within risk infrastructure.

The role emphasizes programming, AI/LLM-driven solutions, data visualization, and strong risk judgement. You will deliver BAU monitoring tools, governance materials, and regulator-ready outputs in a controlled environment.

Qualifications

• Strong programming skills in Python with repeatable analytics and automation.
• Experience designing and implementing AI/LLM-driven solutions (dashboards, workflow automation, narrative generation).
• Good understanding of derivatives, CCR concepts, risk metrics, and liquidity considerations.

Responsibilities

• Analyze and monitor counterparty credit risk exposures using quantitative models and risk management frameworks.
• Design, implement, and interpret stress testing scenarios to evaluate market conditions on CCR.
• Conduct sensitivity analysis and scenario-based stress testing to identify vulnerabilities in credit portfolios.
• Enhance CCR monitoring by delivering tools to improve transparency, explainability and governance.
• Design and implement AI/LLM-enabled dashboards to accelerate BAU monitoring and narrative generation.
• Increase CCR metric accuracy by improving scenario coverage and validating methodologies.
• Leverage data to support scenario review and governance materials.
• Support consolidation of CCR tools into strategic technology solutions with full lifecycle governance.
• Produce regulator- and audit-ready documentation and testing evidence.

Skills

Python

AI/LLM

Excel

Tableau

Alteryx

Data visualization

Communication

Risk judgment

Tools

Tableau

Alteryx

Excel

Job description

JPMorgan Chase & Co. is seeking an Analyst in Counterparty Credit Risk (CCR) Methodology in Buenos Aires to develop methodologies, design stress scenarios, and address analytical challenges within risk infrastructure.

The role emphasizes programming, AI/LLM-driven solutions, data visualization, and strong risk judgement. You will deliver BAU monitoring tools, governance materials, and regulator-ready outputs in a controlled environment.