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Niche KDB skillset reduces applicants, but mid-level experience and metro location increase competition.
Specialized KDB/Q expertise and finance domain experience make transitions across industries difficult.
Explicit 5–9 years requirement and mandatory KDB/Q, Unix, and finance domain skills increase selection rigidity.
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Implement, support, and maintain KDB systems and applications using the KDB technology stack.
Write secure Q code and manage releases and code deployment for KDB systems in a financial context.
Collaborate with teams including data scientists to build and deploy machine learning models relevant to financial operations.
5-9 years of experience in KDB development or related roles.
Proficiency in KDB technology, Q language, and managing large KDB stacks.
Working knowledge of UNIX OS, software delivery processes, agile methodologies, and JIRA.
Location flexibility for Pune (India), Poland, or London, with willingness to work onsite 3 days per week.
Experienced in financial sector applications, particularly front office equities asset class and high-stakes real-time systems.
Familiarity with financial regulatory reporting and compliance, especially SEC Rule 15c31.
Ability to work systematically and communicate clearly in collaborative, agile environments.