JPMorgan Lead Software Engineer - Full Stack React / Python 

United Kingdom, England, London 

754376729

The Business Intelligence and Analytics Tech team are looking for a talented REACT / Python Full-Stack Developer to help develop advanced analytic solutions for our internal and external clients. You will work on our Portfolio Optimization application supporting various asset classes such as Equities, Fixed Income and Multi-Assets.

Job responsibilities

• 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 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
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Applied expertise in front-end development and web technologies: REACT / JavaScript / TypeScript / CSS and Vite / node
• Significant experience in developing server side applications and REST APIs in Python (ideally in Flask)
• Practical cloud native experience (e.g., AWS Cloud)
• Formal training or certification on software engineering concepts and advanced applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline
• In-depth knowledge of the financial services industry and their IT systems

Preferred qualifications, capabilities, and skills

• Good financial background preferred, CFA, FRM, MBA in Finance and/or Financial Engineering degree and/or risk management knowledge is a major plus
• Experience in strategic asset allocation using optimizers such as Gurobi

Porting MATLAB code into Python