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Software Engineer III – Market Risk Reporting & Visualization

JPMorgan Chase
Jersey City, USA
Full-time
Mid
Onsite
Discovered 1 weeks ago
PythonSQLAWS

Full Job Posting

Job 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-authorized 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.

Required qualifications, capabilities, and skills

  • Bachelor’s degree in computer science, data science, engineering, applied mathematics, or a related technical discipline, or equivalent practical experience.
  • Strong professional experience developing and supporting production software or data engineering solutions.
  • 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.

Preferred qualifications, capabilities, and skills

  • Experience with Databricks, Apache Spark, Delta Lake, Unity Catalog, and Amazon Web Services.
  • Experience preparing data for dashboards, visualization tools, regulatory reporting, or analytical applications.
  • Familiarity with data governance, lineage, data observability, and data product practices.
  • Exposure to LLMs, agentic AI, or automation techniques applied to software development or data workflows.
  • Experience with APIs or services for accessing analytical data.
  • Knowledge of market risk concepts such as sensitivities, Value at Risk, stress testing, or limits.
  • Experience tuning Spark workloads and improving pipeline performance, reliability, or cost.

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