JPMorgan Chase within the Commercial & Investment Bank in Markets Trading is looking to enhance the FICC (Fixed Income, Currencies, and Commodities) electronic trading analytics platform, improving its usability and expanding its offerings by developing Python applications that integrate vast amounts of electronic trading data stored both on-premises and in AWS, utilizing KDB+ technology and machine learning tools.
Requirements
- Strong hands-on development experience in core Python programming.
- Expertise in building real-time scalable python apps processing large volumes of timeseries data.
- Proficiency in building, deploying and supporting Python apps in AWS.
- Experience in building modern ML data pipelines using Python.
- Experience in working with NoSQL databases.
- KDB and Q language experience
- Working knowledge of distributed messaging platforms such as AMPS and Kafka.
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
- Contribute to all aspects of building and supporting real-time Python feeds publishing billions of messages daily to distributed KDB+ platforms.
- Orchestrate large data pipelines that provide seamless interoperability between timeseries data sources and ML platforms.
- Focus relentlessly on resiliency, performance and monitoring of all Python data streaming apps.
- Work closely with the rest of FICC KDB development team on data onboarding, data processing and data core engineering tasks.
- Creates secure and high-quality production code
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Other
- Formal training or certification on system design concepts and 3+ years applied experience.
- Team-winning attitude to build, deliver and work together as part of global development team.
- Experience with core java programming.
- Experience in integrating Python data apps with AWS SageMaker, Bedrock and LLM suites.
- Fundamental knowledge of AWS compute services and storage tiers.
