kdb+/q Developer

Overview

Hybrid
$60 - $100
Contract - W2
Contract - Independent
Contract - 6 Month(s)
No Travel Required

Skills

Demonstrated proficiency in kdb+/q with hands-on experience in a production environment.Strong understanding of time-series data structures and real-time data processing.Familiarity with Linux/Unix systems and scripting languages such as Python or Shell.Prior experience in financial services
particularly within trading
market data
or quantitative research domains.Excellent problem-solving abilities and attention to detail.Strong communication skills and the ability to work effectively in a collaborative team environment.

Job Details

Need Data Engineer for this role, need Finance or banking or trading EXP, ( Anyone ), Second round will be F2F

Job Description

kdb+/q Developer

the client is : Untoro Capital

New York City, New York

Position Overview:

We are currently seeking an experienced and highly analytical KDB Developer to join the data services team of a major global hedge fund in New York City. This role is integral to the development and maintenance of high-performance time-series data solutions, supporting critical business functions across trading, analytics, and risk management. The ideal candidate will possess deep expertise in kdb+/q and demonstrate a strong understanding of financial markets and data architecture.


Key Responsibilities:

  • Design, develop, and optimize scalable kdb+/q applications for processing and analyzing large volumes of time-series data.
  • Collaborate with stakeholders across trading, quantitative research, and technology to gather requirements and deliver tailored data solutions.
  • Enhance existing systems to improve performance, reliability, and maintainability.
  • Implement real-time and historical data analytics tools to support decision-making processes.
  • Ensure robust documentation and adherence to best practices in software development and data governance.
  • Provide ongoing support for production systems, including troubleshooting and performance tuning.


Required Qualifications:

  • Demonstrated proficiency in kdb+/q with hands-on experience in a production environment.
  • Strong understanding of time-series data structures and real-time data processing.
  • Familiarity with Linux/Unix systems and scripting languages such as Python or Shell.
  • Prior experience in financial services, particularly within trading, market data, or quantitative research domains.
  • Excellent problem-solving abilities and attention to detail.
  • Strong communication skills and the ability to work effectively in a collaborative team environment.


Preferred Qualifications:

  • Exposure to cloud computing platforms (e.g., AWS, Google Cloud Platform, Azure).
  • Experience with streaming technologies such as Kafka or Redis.
  • Knowledge of additional programming languages (e.g., Java, C++).
  • Bachelor s or Master s degree in Computer Science, Engineering, Mathematics, or a related discipline.
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