Software Engineer III - Python

Overview

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Asset & Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities

• Works closely with portfolio managers to develop portfolio construction/optimization applications
• Develops an understanding of the data loads and processes related to portfolio construction in the system
• Provides support for the teams existing portfolio construction services and applications
• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
• Contributes to the team’s technology modernization initiatives including moving services to Amazon Web Services (AWS)
  
  

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Proven professional experience working with Python
• Solid foundation in computer science, object-oriented design and development lifecycle
• Good experience with SQL, data modeling, and performance tuning
• Strong architecture experience, familiar with backend service-oriented architecture
• Experience of working in financial services, in a front-office environment
• Very pro-active, delivery focus, strong experience on Agile programming
• Excellent analytical, problem-solving skills
• Good understanding of different financial instruments
  
  

• Statistical background is a plus
• CFA, FRM, CQF, MBA or a Financial Engineering degree is a major plus