{bc}
Apply
oracle

Lead Software Engineer – Market Risk Reporting & Visualization

JPMorgan Chase
Jersey City, USA
Full-time
Lead
Onsite
Discovered 1 weeks ago
PythonSQL

Full Job Posting

Job Responsibilities

  • Lead the design and delivery of scalable PySpark and SQL pipelines that transform complex market risk data into trusted, analytics-ready datasets.
  • Define reusable engineering patterns for reporting data products, including data contracts, semantic definitions, quality checks, lineage, testing, deployment, and operational support.
  • Build and optimize data models and views that support interactive reporting, visualization, analysis, and business decision-making.
  • Partner with business stakeholders and risk subject-matter experts to clarify reporting needs, identify the right data, and translate requirements into maintainable technical solutions.
  • Guide architecture and implementation across batch data processing, lakehouse storage, and visualization or reporting integration.
  • Drive adoption of enterprise-authorized AI-assisted development practices, setting clear expectations for validating generated code and analysis for correctness, performance, security, and data handling.
  • Identify opportunities to apply AI and automation to requirements analysis, pipeline development, test generation, data quality investigation, and reporting workflows, with appropriate human oversight.
  • Develop secure, resilient, production-quality code; lead code reviews; and improve automated testing, CI/CD, observability, and support practices.
  • Mentor engineers through technical coaching, design reviews, pairing, and constructive feedback; help raise engineering standards across the team.
  • Identify and resolve performance, scalability, data quality, and operational issues across large data workloads.
  • Communicate technical options, delivery risks, and recommendations clearly to business partners, engineering peers, and senior leaders.

Required qualifications, capabilities, and skills

  • Bachelor’s or advanced degree in computer science, data science, engineering, applied mathematics, or a related technical discipline, or equivalent practical experience.
  • Significant experience designing, building, and operating production data-intensive applications, including technical leadership of complex deliveries.
  • Expert-level Python and PySpark skills, with strong SQL and a solid understanding of distributed data processing and Spark performance.
  • Hands-on experience with a modern lakehouse or cloud data platform, such as Databricks and Delta Lake, and cloud object storage such as Amazon S3.
  • Strong understanding of data modeling, analytical data products, data quality, lineage, access controls, and governance in an enterprise environment.
  • Experience designing data products for reporting, visualization, or analytical use, including translating business definitions into consistent, usable datasets.
  • Demonstrated ability to lead technical design, make pragmatic architecture decisions, and communicate trade-offs to varied audiences.
  • Experience with automated testing, CI/CD, code review, production monitoring, and operational support for data pipelines.
  • Demonstrated experience using approved AI-assisted software development tools effectively, with disciplined validation of AI-generated code and recommendations.
  • Strong collaboration skills and the ability to work with business partners and technical teams in an agile delivery environment.
  • Familiarity with financial markets, market risk, or other complex financial data domains, or the ability to learn the domain quickly.

Preferred qualifications, capabilities, and skills

  • Experience with Databricks workflows or pipelines, Unity Catalog, Delta Lake, and cloud-native data services.
  • Experience with reporting and visualization tools or frameworks, and with designing datasets for interactive dashboards and analytical applications.
  • Experience with data product or data mesh practices, including discoverability, ownership, reusable interfaces, and governed self-service access.
  • Experience applying LLMs or agentic techniques to software engineering, requirements analysis, data investigation, or reporting workflows.
  • Experience building APIs or services that make governed analytical data available to applications and AI-enabled tools.
  • Knowledge of market risk measures, sensitivities, Value at Risk, stress testing, limits, or related risk reporting.
  • Experience with infrastructure as code, data observability, and performance or cost optimization at scale.

Apply for this job in 1 click

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Sarah M.James T.Maya R.

Trusted by over 500,000 job seekers on Base Career

Start Free Today

More from this employer

More jobs at JPMorgan Chase

Executive Director, Business Manager - Security and Resiliency Initiative - Global Banking

New York City, USA

Discovered TodayFull-time

CCB_Generic_US_Chase

Jersey City, USA

Discovered TodayFull-time

Infrastructure Engineer II

Bengaluru, IND

Discovered TodayFull-time

Associate Banker, 20 Hours, Allentown, PA - Airport Shopping Center Branch

Allentown, USA

Discovered TodayPart-time

Associate Banker, 30 Hours, Temple, PA - Temple 5th Street Hwy Branch

Temple, USA

Discovered TodayPart-time

Lead Backend Engineer (Golang) - Platform SDLC Engineer

London, GBR

Discovered TodayFull-time

Associate Banker, 30 Hours, Boyne City, MI - Boyne City Branch

Boyne City, USA

Discovered TodayPart-time

Associate Banker, 20 Hours, Pittsburgh, PA - Pleasant Hills Clairton Branch

Pittsburgh, USA

Discovered TodayPart-time