Lead Python Quant Engineer – Research Platform

JPMorgan Chase

New York (NY)

On-site

USD 152,000 - 215,000

Full time

14 days+

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Job summary

JPMorganChase in New York is seeking a Lead Software Engineer specializing in Python for Quant Development and Quant Research within Asset and Wealth Management Technology. You will contribute to transforming the Quant Research Platform and Portfolio Construction stack, building reusable Python libraries, and collaborating with Quant Research on model development and validation workflows.

You will apply deep knowledge across the SDLC, drive secure coding practices, and promote AI-assisted

Qualifications

  • Formal software engineering training with hands-on delivery
  • Strong Python coding experience in financial services
  • Experience delivering system design, development, testing and operations
  • Familiarity with AI-assisted tooling and secure coding practices
  • Knowledge of statistics, data analytics or quant methods
  • Understanding of CI/CD and cloud native environments
  • Knowledge of financial services across asset classes

Responsibilities

  • Executes creative software solutions, designs, develops, and troubleshoots beyond routine problems
  • Develops secure, high-quality production code and reviews code
  • Drives adoption of enterprise AI-assisted engineering practices to improve quality and delivery
  • Applies SDLC tools and AI-assisted development to increase value from automation
  • Identifies and automates recurring issues to improve stability
  • Leads evaluation sessions with vendors and internal teams on architecture and credentials
  • Ensures compliance with secure, resilient engineering standards and practices
  • Provides guidance on agile methodologies and software lifecycle

Skills

Python
Quant Dev
Quant Research
Financial Services
AI-assisted engineering
CI/CD
Security
Cloud native
Data analytics
Team leadership

Education

Formal software engineering training

Job description

JPMorganChase in New York is seeking a Lead Software Engineer specializing in Python for Quant Development and Quant Research within Asset and Wealth Management Technology. You will contribute to transforming the Quant Research Platform and Portfolio Construction stack, building reusable Python libraries, and collaborating with Quant Research on model development and validation workflows.

You will apply deep knowledge across the SDLC, drive secure coding practices, and promote AI-assisted

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