Lead Software Engineer Data Intelligence (Python), Equities Technology Prime Services

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Banks Equities Technology Prime Services team youare 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. As a core technical contributor you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.

Job responsibilities

• Design and Implement data pipelines and data stores that will be leveraged by quant models
• Work closely with Trading Desk Production Support Quantitative Researchers and other Global Technology teams on Data Products and Analytics
• Execute software solutions design develop and technically troubleshoot with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems
• Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gather analyze synthesize and develop visualizations and reporting from large diverse data sets in service of continuous improvement of software applications and systems
• Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture
• Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Add to team culture of diversity opportunity inclusion and respect

Required qualifications capabilities and skills

• Formal training or certification on software engineering concepts and 5 years of applied experience
• Advanced proficiency in Python for data engineering
• Demonstrated ownership of data quality/observability Lineage and Governance in production environments
• Strong knowledge of SQL and schema design for analytical and time series workloads; performance tuning on columnar data
• Expertise in data management on AWS (S3 Glue Athena MWAA)
• Hands-on practical experience delivering system design application development testing and mission critical operational data flows
• Practical cloud native experience

• Prior knowledge of Capital Markets will be a strong plus
• Data streaming knowledge on frameworks like Kafka AMPS will be beneficial
• Familiarity and prior experience on KDB/q will be beneficial
• Experience of working with and manipulating datasets using Pandas/Numpy/Scikit will be desirable