Software Engineer III – Market Risk Reporting & Visualization
JPMorgan Chase20 hours ago
Base Salary
$138k - $185k/yr
Responsibilities
- Design, build, and maintain production PySpark and SQL pipelines for market risk reporting and analytics.
- Transform complex source data into reusable datasets and views for dashboards, reports, and analytical applications.
- Collaborate with risk subject-matter experts, business partners, quantitative and data teams, product partners, and engineers to define and deliver reporting solutions.
- Apply data modeling, data quality, lineage, and governance practices to produce consistent and traceable reporting outputs.
- Develop secure, readable, maintainable code and participate in design discussions, code reviews, and continuous improvement.
- Build and maintain automated tests and deployment workflows while supporting monitoring and operational stability.
- Investigate data discrepancies, performance bottlenecks, and production issues and implement durable fixes.
- Use authorized AI-assisted engineering tools for coding, testing, documentation, and troubleshooting while validating correctness, security, and performance.
- Explore AI and automation uses in reporting and analysis with appropriate validation and human review.
Requirements
- 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, solid SQL skills, and an understanding of distributed processing concepts.
- Experience building data pipelines on a cloud data platform or lakehouse using large datasets and cloud object storage.
- Knowledge of data modeling, data quality, and reliable datasets for analytics and reporting.
- Experience with software development fundamentals, version control, testing, code review, CI/CD, and production support.
- Ability to translate business and technical requirements into clear, maintainable implementations.
- Experience using approved AI-assisted development tools and validating generated output.
- Strong problem-solving, communication, and teamwork skills.
- Interest in financial markets, market risk, or other complex data domains.
- Preferred experience includes Databricks, Apache Spark, Delta Lake, Unity Catalog, AWS, dashboard or regulatory reporting data preparation, data governance, lineage, observability, APIs or analytical data services, LLMs or agentic AI, and market risk concepts such as sensitivities, Value at Risk, stress testing, and limits.
Benefits
- Competitive total rewards and benefits package, including health care coverage, on-site health and wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Eligible roles may include discretionary incentive compensation or commission-based pay and/or forfeitable equity.
- Additional compensation and benefit details are provided during the hiring process.
Tech Stack
Categories
Data Engineering
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.