Lead Software Engineer, Quantitative Portfolio Construction Development

JPMorgan Chase

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
New York, NY
Posted
23 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $190k
$143k most similar roles pay here $234k

This listing doesn't post a salary. Most similar roles pay $169,550–$211,200.

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 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Lead Software Engineer, Quantitative Portfolio Construction Development

Lead Software Engineer - Quantitative Portfolio Construction Development joins the Asset Management Technology team as a core technical contributor within front-office technology. This role involves designing, developing, and troubleshooting high-quality production code while driving the adoption of enterprise-authorized AI-assisted engineering practices to improve delivery speed and operational stability. The engineer will lead evaluation sessions with vendors and internal teams to assess architectural designs and manage the full software development life cycle. Key technical requirements include advanced proficiency in Java or Python, practical cloud-native experience with AWS services like S3, EC2, and EMR, and infrastructure as code using Terraform. Additionally, the role requires skills in Spark, Databricks, and Oracle for distributed data processing. The work focuses on building systems that support the full investment management cycle, including research, portfolio management, and investment.

What you'll do

  • Develop secure, high-quality production code in Java or Python for the investment management cycle.
  • Design and implement creative technical solutions to solve complex problems beyond conventional approaches.
  • Review, debug, and mentor others on code quality and standard engineering practices.
  • Drive team adoption of enterprise-authorized AI-assisted tools for coding, testing, and incident analysis.
  • Automate the remediation of recurring issues to improve the operational stability of software systems.
  • Lead evaluation sessions with vendors and internal teams to assess architectural designs and technical credentials.
  • Manage cloud-native infrastructure using AWS services and Infrastructure as Code (Terraform).
  • Translate business requirements into functional specifications for front-office technology stakeholders.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Hands-on practical experience in system design, application development, testing, and operational stability.
  • Advanced proficiency in one or more programming languages, specifically Python or Java.
  • Practical cloud native experience with AWS services and infrastructure as code tools like Terraform.
  • Demonstrated experience leading the use of approved AI-assisted software development tools and coaching others on safe adoption.
  • Proficiency in all aspects of the Software Development Life Cycle including CI/CD, application resiliency, and security.
  • In-depth knowledge of the financial services industry and their IT systems.
  • Experience with Spark, Databricks, relational databases, or data engineering (preferred).

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