Lead Software Engineer, Valuation Control Group Technology

JPMorgan Chase

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Quick summary

Work type
On-site
Location
Jersey City, NJ
Employment
Full-time
Posted
18 days ago
Freshness
Confirmed live today

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Similar $198k
$128k most similar roles pay here $280k

This listing doesn't post a salary. Most similar roles pay $169,550–$225,937.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1222 open roles on FindRole.

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TL;DR · Lead Software Engineer, Valuation Control Group Technology

As a Lead Software Engineer (VP) - Valuation Control Group Technology, you will join the Valuation Control Group Technology team as a core technical contributor within an agile environment. You will lead end-to-end architecture for Athena, Databricks, and AWS-based valuation control platforms while developing tools for pricing, risk, IPV, valuation adjustment, and fair value reporting. Your daily responsibilities include building large-scale Databricks ETL pipelines, managing cloud-native AWS infrastructure, and establishing engineering best practices like CI/CD and production monitoring. You will utilize Python, PySpark, Delta Lake, SQL, and various AWS services to solve complex problems in derivatives pricing, risk management, and trade booking. The role requires expertise in financial products and market data to deliver automated controls for independent price verification and regulatory compliance while mentoring engineers and integrating AI-assisted engineering practices into the development lifecycle.

What you'll do

  • Lead end-to-end architecture for Athena, Databricks, and AWS-based valuation control platforms.
  • Develop and enhance pricing, risk, IPV, and fair value reporting tools within the Athena platform.
  • Design and optimize large-scale Databricks ETL and analytics pipelines for market and P&L data.
  • Architect and manage cloud-native AWS solutions including infrastructure, security, and modernization initiatives.
  • Establish engineering best practices, code quality standards, CI/CD processes, and production monitoring.
  • Deliver automation and controls for independent price verification, valuation uncertainty detection, and regulatory compliance.
  • Provide technical leadership and mentorship to engineering teams while overseeing production support.
  • Drive the adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed.

What we're looking for

  • Formal training or certification in software engineering concepts and 5+ years of applied experience.
  • Extensive Python engineering experience with hands-on platform experience and financial application engineering.
  • Strong Databricks and Apache Spark experience including PySpark, Delta Lake, and performance tuning.
  • Solid hands-on AWS experience across core services with an understanding of cloud security and cost management.
  • Solid grasp of financial products, valuation/pricing concepts, and market data.
  • Proven experience leading engineering teams and delivering in a controlled, regulated environment.
  • Strong SQL, data modeling, and data-quality engineering skills.
  • Knowledge of IPV, prudent valuation, XVA, or fair-value reserve methodologies (preferred); AWS certification (preferred).

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