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Lead KDB Engineer
Lead KDB EngineerOpen Systems Technologies • New York, NY, US
Lead KDB Engineer

Lead KDB Engineer

Open Systems Technologies • New York, NY, US
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A financial firm is looking for a Lead KDB Engineer to join their team in New York, NY.

Compensation : $200k base + bonus

Responsibilities :

  • Design, develop, and maintain kdb+ databases and risk engine components.
  • Develop solutions in Q / kdb+, Python / PyKX to enhance market risk data processing.
  • Implement scalable and high-performance computing solutions for market risk analytics.
  • Collaborate with cross-functional teams and global counterparts to deliver high-quality solutions.
  • Optimize risk data processing pipelines to improve efficiency and response time.
  • Ensure compliance with regulatory requirements for market risk technology.
  • Work in an Agile development environment, ensuring timely and efficient product delivery.
  • Provide technical leadership and mentorship to junior developers in the squad.
  • Troubleshoot and resolve performance issues within KDB+ and risk analytics platforms.

Qualifications : Required

  • Hands-on experience with kdb+ / Q.
  • Proficiency in Python and PyKX for data analytics and processing.
  • Experience in designing and building large-scale business-critical systems.
  • Strong fundamentals in data structures and algorithms.
  • Ability to understand market risk domain and its data and implement efficient data solutions.
  • Strong problem-solving and analytical thinking.
  • Ability to act autonomously in complex decision-making.
  • Capacity to develop and manage operational initiatives that align with business goals.
  • Good communication skills.
  • Must be comfortable and effective working independently (team is global - mostly in Budapest, with some presence in NY & Montreal).
  • 5+ years of designing and building apps - building distributed systems is a plus.

    • Preferred

  • Experience with Java, kdb Insights a plus.
  • Architectural understanding of kdb+ and distributed computing.
  • Exposure to big data technologies such as Apache Spark.
  • Familiarity with Agile software development and DevOps best practices.
  • Experience with cloud technologies such as AWS, Azure, or Google Cloud Platform (GCP).
  • Knowledge of cloud-based data processing frameworks and containerized deployments (Docker, Kubernetes).
  • Experience with Financial technologies (FinTech) or background in finance.

    • J-18808-Ljbffr

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