We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III - KDB + Python Developer at JPMorgan Chase within the Commercial & Investment Bank Markets Technology Team, you will contribute to our "Market Data" and \"Orders & Execution\" KDB database, central to our Cash Equity business. This role is pivotal in managing vast historical and real-time data, driving decisions and strategies across financial and trading platforms. You will be working with a large user data set and will be providing service for mission critical trading applications.
Job Responsibilities:
- Write Q code, develop and maintain applications using our KDB and Python technology stack.
- Analyze, design and implement solutions for regular business enhancement requests and collaboration with global peers.
- Implement new compliance and regulatory guidelines for data systems.
- Planning, testing and automation of regular production releases of applications.
- Communicate with global stakeholders, handle regular user queries and L3 production support requests.
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Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Experience in the end to end development in the financial sector.
- Experience in KDB and python including experience of writing Q code, optimization and troubleshooting.
- Proven track record with KDB, design patterns, troubleshooting, optimization.
- Demonstrated ability in managing real-time application for high-stakes financial operations.
- Able to make decisions in a fast-paced and pressurized environment
- Strong work ethic and delivery focused
- Strong communication skills
- Proficiency in dynamic teamwork, and goal oriented environments
- Organizational skills to be able to juggle multiple responsibilities while maintaining focus
- Preferred qualifications, capabilities, and skills
Preferred qualifications, capabilities, and skills :
- Experience with cloud environments and deployments
- Experience with geographically distributed teams