Software Engineer II - KDB+ Credit Technology

TN United Kingdom; United Kingdom; On-site; GBP 80,000 - 100,000; Full time

Job description

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Job Reference:

488af4a93e71

Job Views:

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Posted:

06.04.2025

Expiry Date:

21.05.2025

Job Description:

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

Join an agile team that designs and delivers front office time-series software solutions for Data, Analytics, and Workflow Automation for the Credit Trading Business.

As a KDB+ Software Engineer II at JPMorgan Chase, you are part of an agile team that works to enhance, design, and deliver the time-series software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job Responsibilities:

• Manage Data: Handling large volumes of time-series data, ensuring data integrity, and optimizing data storage.
• Develop Queries: Writing and optimizing queries in Q, the programming language used with KDB+, to extract and manipulate data efficiently.
• Maintain Systems: Assisting in the maintenance and monitoring of KDB+ systems to ensure high availability and performance.
• Analyze Data: Collaborating with analysts and other stakeholders to provide insights and support decision-making processes.
• Troubleshooting: Identifying and resolving issues related to data processing and system performance.
• Document: Maintaining clear documentation of processes, queries, and system configurations.

Required Qualifications, Capabilities, and Skills:

• Formal training or certification on Q language concepts and expanding applied experience.
• Proficiency in Q: Strong understanding of the Q language and its application in querying and data manipulation.
• Database Knowledge: Familiarity with database concepts, particularly those related to time-series data.
• Problem-Solving: Ability to troubleshoot and resolve technical issues efficiently.
• Analytical Skills: Strong analytical skills to interpret data and provide actionable insights.
• Communication: Good communication skills to work effectively with team members and stakeholders.
• Attention to Detail: High attention to detail to ensure data accuracy and system reliability.