Lead Software Engineer, Python, Trading & Structuring Equities Derivatives Technology

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Global Equity Derivatives Technology team, you will work closely with trading, structuring, sales, and quant colleagues to deliver core engines, services, APIs, and visualization components for our desk. You will focus on application development that meets the evolving needs of our structuring business, contributing to projects ranging from structured product payoffs, market intelligence to bespoke solutions for institutional clients. You will play a key role in a collaborative, fast-paced environment where your contributions promote business success.

Job responsibilities

• Executes 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 high-quality production code, and reviews and debugs code written by others

• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems

• You would have to deal with ambiguity, convert ideas into full-fledged software product using usable and appropriate technology.

• You would drive tasks to completion and take full ownership of projects.

• Leads sessions with external data vendors, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

• Effectively communicate and manage stakeholders expectations.

• Contributes to software engineering communities of practice and events that explore new and emerging technologies

• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Bachelor’s degree in computer science, Engineering, Mathematics, or other related disciplines

• Formal training or certification on software engineering concepts and 5+ years applied experience

• Hands-on experience in system design, application development, testing, and operational stability

• Proficiency in Python programming language

• Experience dealing with growing data ingestion, data management and data analytics.

• Disciplined approach to code management, testing and deployment practices

• Self-starter with the ability to quickly pick up new ideas, concepts and technologies