JPMorgan Software Engineer III - Java Python Full stack + React 

India, Maharashtra, Mumbai 

65809667

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
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.Will be part of the high-caliber development team that works closely with the Front Office users on end-to-end solutions
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 6+ years applied experience
• Strong core Java or Python experience is required
• Agile development experience or equivalent in fast-paced development environment
• Good understanding in data persistence (SQL or non-SQL) data paradigms
• Prior experience developing middleware (MQ, data caching)
• Experience working with market Data Feeds

Preferred qualifications, capabilities, and skills

• Front End React JS experience will be an added plus. Solid financial engineering background is desirable
• Quantitative experience in the field of optimization, regression and portfolio analytics is desirable
• Prior experience developing middleware (MQ, data caching) is desirable. Quantitative experience in the field of optimization, regression and portfolio analytics is desirable
• Experience in front-office capital markets/investment management applications desired. Understanding of fixed income markets is strongly desired