Join us to shape the future of Equity Derivatives trading technology. You’ll partner closely with front office teams, leveraging your Python expertise to deliver impactful solutions. We offer a collaborative, agile environment where your ideas can drive business transformation. At JPMorgan Chase, you’ll find opportunities for growth, global teamwork, and the chance to make a real difference.

As a Senior Software Engineer in the Equities Front Office Trading and Analytics Team, you will develop and enhance applications that support the Equity Derivatives trading and sales desks. You will work within the Proxy Pricer stream, collaborating with trading, technology, and Quantitative Research teams to deliver solutions that are critical to our business. You will help automate front office processes, ensure application stability, and contribute to a global technology platform. Your work will directly impact our ability to innovate and compete in the market.

Job Responsibilities:

• Develop and enhance Python applications for Equity Derivatives trading and analytics
• Partner with trading desks, technology teams, and Quantitative Research to deliver business-critical solutions
• Maintain and improve existing application stacks to ensure stability and performance
• Automate front office processes and functions using technology solutions
• Collaborate with global and local teams in an agile, delivery-focused environment
• Participate in business transformation projects across analytics, marking, and publishing
• Propose and explore new technology solutions to maintain a competitive edge
• Break down requirements into technical deliverables and estimate effort
• Apply disciplined code management, testing, and deployment practices
• Communicate effectively with team members and stakeholders
• Solve complex problems with mathematical and technological approaches

Required Qualifications, Capabilities, and Skills:

• Hands-on experience with systematic trading technology platforms
• Experience developing, deploying, and maintaining commercial service-oriented applications
• Strong understanding of code management, testing, and deployment best practices
• Business knowledge of simple derivative products (e.g., vanilla options, variance swaps) including pricing and risk evaluation
• Proficiency in at least one modern programming language such as Python or Java
• Knowledge of at least one relational database (e.g., Sybase, SQL Server, Oracle)
• Understanding of unit testing methodologies
• Experience with the full project lifecycle, from requirements to delivery
• Ability to work effectively within a global team and contribute to a global platform
• Strong problem-solving skills for mathematical and technological challenges
• Demonstrated ability to thrive in a fast-paced, team-oriented environment, complemented by excellent communication skills for describing problems and explaining solutions

Preferred Qualifications, Capabilities, and Skills:

• Equities business knowledge or relevant experience in other business areas
• Unix or Linux knowledge
• Working knowledge of continuous integration and deployment processes
• Experience with project management

Experience with service-oriented platforms and current generation open source frameworks