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Lead KDB Engineer
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-01-12
Listing for:
Open Systems Technologies
Full Time
position Listed on 2026-01-12
Job specializations:
-
IT/Tech
Data Engineer, Cloud Computing
Job Description & How to Apply Below
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 Dev Ops 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 (Fin Tech) or background in finance.
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