Counterparty Risk Analytics & Stress Testing Pro

JPMorgan Chase & Co.; Buenos Aires; Presencial; ARS 2.500.000 - 4.200.000; Jornada completa

Descripción de la vacante

JPMorgan Chase & Co. is seeking a Counterparty Credit Risk Analyst to design and enhance stress testing frameworks, build quantitative analytics, and automate risk processes that strengthen transparency and decision-making.

The role combines quantitative problem-solving, data engineering, and close collaboration with risk, technology, and business stakeholders. You will develop Python-based analytics, automate risk workflows, and contribute to regulator-ready materials while partnering across

Formación

• Bachelor’s or Master’s degree in a quantitative field.
• 3 years of risk management or stress testing experience.
• Proficiency in Python for analytics and automation.
• Knowledge of financial markets and risk concepts.
• Experience with stress testing or model validation.
• Strong visualization skills with Tableau/Power BI.
• Clear written and verbal communication skills.
• Ability to manage multiple priorities in a fast-paced environment.

Responsabilidades

• Design, enhance, and maintain stress testing methodologies and frameworks.
• Perform sensitivity analyses, backtesting, and scenario reviews.
• Analyze counterparty exposures and concentration drivers using quantitative models.
• Develop Python-based analytics and automation for stress testing workflows.
• Improve risk monitoring transparency with governance-ready reporting.
• Partner with Risk, Quantitative Research, Technology, and Credit teams.
• Support AI/LLM applications for risk monitoring and reporting.
• Prepare regulator- and audit-ready materials.

Conocimientos

Python

Risk analytics

Stress testing

Tableau

Power BI

Financial markets

Communication

Data visualization

Problem solving

Educación

Quantitative degree

Herramientas

Tableau

Power BI

Cloud platforms

Descripción del empleo

JPMorgan Chase & Co. is seeking a Counterparty Credit Risk Analyst to design and enhance stress testing frameworks, build quantitative analytics, and automate risk processes that strengthen transparency and decision-making.

The role combines quantitative problem-solving, data engineering, and close collaboration with risk, technology, and business stakeholders. You will develop Python-based analytics, automate risk workflows, and contribute to regulator-ready materials while partnering across