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Niche KDB skill reduces applicant pool despite mid-level experience and Pune metro.
Highly specialized KDB and front-office equities experience limits cross-industry transferability.
Mandatory 5–9 years plus specialized KDB/Q, UNIX, and finance compliance requirements make filters strict.
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Implement, support, and maintain KDB systems and applications using Q/KDB+ within Agency Trading environment.
Collaborate with cross-functional teams including data scientists to develop and deploy machine learning models and deliver timely solutions.
Manage releases, code deployment, and ensure secure, production-grade Q code in financial real-time applications.
5-9 years of experience working with KDB technology and Q language.
Strong knowledge of KDB stacks, UNIX OS, and software delivery methodologies including agile and JIRA.
Experience in financial sector software development with understanding of regulatory compliance (e.g., SEC Rule 15c31).
Location requirement: Pune (India), Poland, or London; Ready to work onsite 3 days/week.
Experienced in handling end-to-end KDB development for high-stakes financial trading applications with secure and scalable code management.
Operates effectively within agile frameworks and understands financial asset classes, particularly front office equities.
Capable of collaborating across technical and domain teams to integrate advanced analytics or machine learning models into production.