Senior Market Risk Data Visualization Engineer

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City is seeking an experienced Software Engineer III to shape market risk reporting and analytics.

You will lead data product development, build PySpark/SQL pipelines, and deliver visualization-ready datasets spanning large, fast-moving markets. You will collaborate with risk managers, data teams, and platform engineers, apply AI-enabled practices with proper validation, and contribute to secure, maintainable code, automated tests, and deployment workflows in a

Qualifications

• Bachelor’s degree in computer science, data science, engineering, applied mathematics, or a related technical discipline, or equivalent practical experience.
• Strong Python and PySpark skills, with solid SQL and understanding of distributed processing concepts.
• Experience building data pipelines on a cloud data platform or lakehouse, working with large datasets and cloud object storage.
• Knowledge of data modeling, data quality, and the design of reliable datasets for analytics and reporting.
• Experience with software development fundamentals, including version control, testing, code review, CI/CD, and production support.
• Ability to analyze business and technical requirements and turn them into clear, maintainable implementations.
• Experience using approved AI-assisted development tools, with care to review and test generated output rather than relying on it without validation.
• Strong problem-solving, communication, and teamwork skills.
• Interest in financial markets, market risk, or other complex data domains.

Responsibilities

• Design, build, and maintain production PySpark and SQL pipelines for market risk reporting and analytics.
• Transform complex source data into well-defined, reusable datasets and views for dashboards, reports, and analytical applications.
• Work with business partners and risk subject-matter experts to understand requirements, trace data needs, and deliver fit-for-purpose solutions.
• Apply data modeling, data quality, lineage, and governance practices so reporting outputs are consistent, traceable, and trusted.
• Develop secure, readable, and maintainable code; participate in design discussions, code reviews, and continuous improvement.
• Build and maintain automated tests and deployment workflows, and support monitoring and operational stability of data products.
• Investigate data discrepancies, performance bottlenecks, and production issues, and implement durable fixes.
• Use enterprise-authenticated AI-assisted engineering tools to accelerate coding, testing, documentation, and troubleshooting while checking results for correctness, security, and performance.
• Explore practical uses of AI and automation in reporting and analysis, incorporating appropriate validation and human review.
• Collaborate effectively with other engineers, business stakeholders, and platform teams to deliver work in an agile environment.

Skills

Python

PySpark

SQL

Data pipelines

Cloud platforms

Distributed processing

CI/CD

Code reviews

AI-assisted tools

Data governance

Education

Bachelor's degree in CS/related field

Tools

Databricks

Apache Spark

Delta Lake

Unity Catalog

AWS

Cloud object storage

Job description

JPMorgan Chase & Co. in Jersey City is seeking an experienced Software Engineer III to shape market risk reporting and analytics.

You will lead data product development, build PySpark/SQL pipelines, and deliver visualization-ready datasets spanning large, fast-moving markets. You will collaborate with risk managers, data teams, and platform engineers, apply AI-enabled practices with proper validation, and contribute to secure, maintainable code, automated tests, and deployment workflows in a