KX Engineer - New York, United States - First Derivatives U.S., Inc.

Description

Responsible for developing and testing new features for KX products including Insights, Insights Enterprise, Surveillance, Refinery and Operating as Subject Matter Expert for KX Surveillance customer implementations and customization of alert model logic, dashboard visualizations and user access.

Working within domains of Equity, Futures and Crypto market data, time series analysis, reference data, and regulatory reporting analysis.

Contributing to all aspects of the software development lifecycle, including influencing the overall design and architecture of the application and developing, testing, and deploying the code.

Working as part of a multi-region agile team and providing support for production issues escalated by L2 support teams. Contributing to sprint planning and backlog grooming of feature requests and bugs.

Implementing new and existing kdb+/q logic to derive benchmarks or enriched statistics on datasets of historical and real time data.

Generate client business reports and automating delivery within an agreed SLA. Utilizing specialized technical skills in kdb+/q, , qCumber, REST, Kubernetes, Docker, python, SQL, AWS, Microsoft Azure, gitlab CI/CD, snyk, KX Insights, KX Dashboards

Bachelor's degree in Computer Science, Mathematics, Engineering or related quantitative subject plus one years-experience in the job offered or related position in the Capital Markets industry.

The minimum required experience in the job offered or related occupation must include one year of experience developing, supporting, and maintenance of KX Insights, KX Insights Enterprise and Experience with KX Surveillance implementations for clients including major global banks and crypto hedge funds.

Experience with real time and historical time series data sets across multiple asset classes and exchanges. Troubleshooting KX system issues, system stress testing, regression testing and backfilling any missing data due to outages.

Working within domains of Equity, Futures and Crypto market data, time series analysis, reference data, and regulatory reporting analysis Implementing new and existing kdb+/q logic to derive benchmarks or enriched statistics on sets of order data.

Utilizing specialized technical skills in kdb+/q, , qCumber, REST, Kubernetes, Docker, python, SQL, AWS, Microsoft Azure, gitlab CI/CD, snyk, KX Insights, KX Dashboards