Counterparty Credit Risk Analyst

JPMorgan Chase & Co.; Municipio de Rincón de los Sauces; On-site; ARS 136,310,000 - 181,747,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Counterparty Credit Risk Analyst to design and enhance stress testing frameworks, develop quantitative analytics, and automate risk processes.

You will strengthen transparency, controls, and decision-making through rigorous analysis and data-driven solutions. You will collaborate with stakeholders across Risk, Quantitative Research, Technology, Credit, and business units, delivering practical insights and governance-ready reporting.

Qualifications

• Bachelor's or Master's degree in a quantitative field (Maths, Stats, Financial Eng, Physics, Engineering, Economics).
• 3+ years in risk management, analytics, stress testing, or related area in financial services.
• Proficiency in Python and building analytics, automation, and data-driven solutions.
• Understanding of financial markets and core risk management concepts.
• Experience with stress testing, scenario analysis, and model validation.
• Proficiency creating visualizations with Tableau or Power BI.
• Knowledge of AI/LLM concepts and practical risk analytics applications.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Design, enhance, and maintain counterparty credit risk stress testing methodologies, scenario frameworks, and supporting documentation
• Perform sensitivity analysis, backtesting, and scenario reviews to assess portfolio vulnerabilities and validate methodology performance
• Analyze counterparty exposures and concentration drivers using quantitative models and risk management frameworks
• Develop Python-based analytics and automation solutions to improve efficiency, control, and data quality
• Improve risk monitoring transparency through explainable metrics, governance-ready reporting, and controlled processes
• Partner with Risk, Quantitative Research, Technology, Credit, and the business to deliver insights and process improvements
• Support delivery of AI and LLM applications for risk monitoring, workflow automation, and management reporting
• Prepare regulator- and audit-ready materials, including methodology papers and testing evidence

Skills

Python

Risk management

Statistics

Tableau

Power BI

AI/LLM concepts

Communication

Education

Quantitative degree (Bachelor's or Master's)

Tools

Tableau

Power BI

Cloud platforms

Job description

Job Description

Join our Counterparty Credit Risk team and help shape how we measure and manage risk across dynamic financial markets. You will enhance stress testing and scenario methodologies, develop analytical tools, and deliver insights that support strong risk decisions. This role combines quantitative problem-solving, data engineering, and close partnership with stakeholders across risk, technology, and the business. If you are curious, hands-on, and motivated by complex challenges, we would like to hear from you.

Job Summary

As a Counterparty Credit Risk Analyst in Counterparty Credit Risk Methodology and Stress Testing, you will design and enhance stress testing frameworks, build quantitative analytics, and automate risk processes to strengthen transparency, controls, and decision-making.

Job responsibilities

• Design, enhance, and maintain counterparty credit risk stress testing methodologies, scenario frameworks, and supporting documentation
• Perform sensitivity analysis, backtesting, and scenario reviews to assess portfolio vulnerabilities and validate methodology performance
• Analyze counterparty exposures and concentration drivers using quantitative models, risk management frameworks, and relevant risk metrics
• Develop Python-based analytics and automation solutions that improve efficiency, control, and data quality across stress testing and monitoring workflows
• Improve risk monitoring transparency through explainable metrics, governance-ready reporting, and well-controlled processes
• Partner with stakeholders across Risk, Quantitative Research, Technology, Credit, and the business to deliver analytical insights and process enhancements
• Support delivery of practical artificial intelligence and large language model applications for risk monitoring, workflow automation, and management reporting
• Prepare regulator- and audit-ready materials, including methodology papers, testing evidence, and governance artifacts

Required Qualifications, Capabilities, And Skills

• Bachelor's or Master's degree in Mathematics, Statistics, Financial Engineering, Physics, Engineering, Finance, Economics, or a related quantitative discipline
• 3 years of experience in risk management, quantitative analytics, stress testing, or a related area within financial services
• Proficiency in Python and experience building analytics, automation, and data-driven solutions
• Understanding of financial markets and core risk management concepts
• Experience with stress testing, scenario analysis, quantitative risk methodologies, or model validation practices
• Experience creating clear, effective visualizations using tools such as Tableau or Power BI
• Knowledge of artificial intelligence and large language model concepts and practical applications in analytics or risk management
• Strong analytical and problem-solving skills with attention to detail and a control-minded approach
• Strong written and verbal communication skills, including the ability to explain complex topics to technical and non-technical audiences
• Ability to manage multiple priorities and deliver high-quality outputs in a fast-paced environment

Preferred Qualifications, Capabilities, And Skills

• Financial Risk Manager (FRM), Chartered Financial Analyst (CFA), or equivalent professional certification
• Experience in counterparty credit risk, including derivatives, futures and options, or securities financing transactions
• Experience working with large datasets and modern data platforms
• Experience with cloud platforms and scalable analytics tooling
• Experience writing methodology documentation and supporting audit, regulatory, or governance reviews
• Experience improving end-to-end processes through controls design and automation
• Advanced proficiency in Tableau or Power BI, including dashboard design and governance considerations

ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About The Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.