Full Job Description

Location: LONDON, United Kingdom

Join us and shape the future of data and analytics at JPMorgan Chase. As a Lead Software Engineer, you will have the opportunity to design and deliver market-leading technology products that support our business objectives. You will collaborate with talented colleagues in an inclusive, agile environment where your ideas and expertise are valued. We empower you to grow your career, work with cutting-edge technologies, and make a meaningful impact. Discover a place where your skills drive real change.

As a Lead Software Engineer in the Asset & Wealth Management Data & Analytics Engineering team, you will design and implement technical data and analytics solutions on a federated data platform. You will develop automated data ingestion and transformation pipelines, create new distribution channels, and deliver enhanced Data Products within a comprehensive data marketplace. You will collaborate with Technology groups and Business consumers, including Quantitative Research, to support key business initiatives. Your work will help drive innovation and operational excellence across our organization.

Job Responsibilities:

Develop secure, high-quality production code and review and debug code written by others

Identify opportunities to automate remediation of recurring issues and improve operational stability

Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials

Drive communities of practice across Software Engineering to promote new and leading-edge technologies

Design and implement performant automated data ingestion and transformation pipelines

Build new distribution channels and deliver enhanced Data Products

Collaborate with stakeholders to understand requirements and deliver impactful solutions

Foster a team culture of diversity, opportunity, inclusion, and respect

Ensure operational stability and scalability of software applications and systems

Apply creative problem-solving to design, development, and technical troubleshooting

Contribute to all aspects of the Software Development Life Cycle

Required Qualifications, Capabilities, and Skills:

Experience with public cloud analytics technologies, such as Snowflake

Understanding of modern data architectures, including Data Mesh and Data Fabric

Advanced proficiency in programming languages, including Python

Lead developer experience with the ability to guide and manage others

Strong communication skills and confidence in stakeholder engagement

Proficiency in building and deploying performant software and familiarity with Infrastructure-as-Code tooling

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

Proficiency in automation and continuous delivery methods

Advanced understanding of agile methodologies, including CI/CD, Application Resiliency, and Security

Demonstrated proficiency in software applications and technical processes within technical disciplines (e.g., cloud, AI, machine learning, mobile)

In-depth knowledge of financial services industry IT systems

Practical cloud native experience

Preferred Qualifications, Capabilities, and Skills:

Experience with Java, especially for analytics platforms and solutions

Cloud-based data analytics platform experience in Snowflake, Databricks, or similar solutions

AWS Certification (preferred but not required)

Drive innovation and deliver impactful data solutions as a Lead Software Engineer on our Asset Management Data Platform.

Bulge Bracket Investment Banks

17 days ago

clicks

Lead Software Engineer – Asset Management Data Platform

at J.P. Morgan

ExperiencedNo visa sponsorship

Not specified

Currency not set

City: London

Country: United Kingdom

Lead Software Engineer role within JPMorgan Chase's Asset & Wealth Management Data & Analytics Engineering team. Design and implement federated data platform solutions, including automated data ingestion/transformation pipelines and new data distribution channels. Collaborate with technology groups, business consumers and quantitative research to deliver production-grade, scalable data products. Drive engineering best practices, operational stability, and mentor others while applying cloud-native and modern data architecture patterns.

Apply now