Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

 

As a Senior Lead Software Engineer at JPMorgan Chase within the Treasury & Chief Investment office, Corporate technology team, you will be supporting Front office and Middle office group and an integral part of an agile team that works to enhance , build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications

 

Job Responsibilities 

Responsible for the Trade Execution Platform that supports Portfolio Managers and Operations team. Responsible for the resiliency and security aspects of the Trade Execution Platform. Managing projects and programs in collaboration with diverse stakeholders Collaborate directly with Product Owner and Portfolio Managers to deliver solutions for diverse needs and drives decisions that influence the product design, application functionality, and technical operations and processes Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software  Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Adds to the team culture of diversity, equity, inclusion, and respect Develops secure and high-quality production code, and reviews and debugs code written by others

 

Required qualifications, capabilities, and skills

Formal training or certification on Software Engineering concepts and 5+ years applied experience Experience in overseeing projects and programs from conception to completion, ensuring timelines and objectives are met. Strong verbal and written communication to convey ideas, provide feedback and engage with stakeholders. Investment Banking products experience mainly with fixed income and derivatives preferably with Quantitative Modeling skills  Advanced in Python programming and experience with data analysis tools like Pandas , NumPy for large dataset analysis. Hands-on practical experience delivering system design, application development, testing, and operational stability Strong cloud native experience  Proven ability to lead and inspire a team, with strong decision-making and problem-solving skills Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

 

Preferred qualifications, capabilities, and skills

Experience in organization management or leadership roles Application owner experience Advanced knowledge of software applications with artificial intelligence, machine learning