kdb developer in new york

posted
job type
permanent
salary
US$ 170,000 per year
apply now

job details

posted
location
new york
job category
Information Technology
job type
permanent
salary
US$ 170,000 per year
reference number
631440
phone
.
apply now

job description

job summary:

We are very excited to share this opportunity. We are working on a permanent position with one of our main clients. Below please find all of the specifics and let me know if you would be interested in this role.

KDB+/Q Software Engineer

The role is to work in the Global Markets Equities Data and Analytics group to build out and support an extensive set of KDB+/Q related applications covering from Market Data capturing to Quantitative Research. The candidate would be a hands-on developer in a fast paced agile environment. (S)he is required to work independently with minimum supervision. Candidate should have strong communication skill (both verbal and written) as (S)he would be working in a geographically distributed team. Candidate is supposed to demonstrate sense of ownership and take the responsibility for end to end delivery of the assigned tasks

Responsibilities

  • Working directly with users and analysts to translate business use cases into precise functional and technical requirements
  • Mentor a team of junior kdb+ developers and establishing standards
  • Design and develop distributed, high volume, high velocity real-time and historical systems using kdb+ technology
  • Leveraging kdb+ as a core component to build out a data science framework to support quant research and development
  • Integrate OMS and Market data to derive the necessary analytics to support Transaction Cost Analysis and other internal trading systems
  • Provide support and tools to allow end users to identify the underlying data issues or performance outliers

Requirements

  • 10+ years of experience as a professional Software Engineer
  • Experience in KDB+/Q in the financial industry is a must
  • Experience building & maintaining large-scale KDB ticker plants
  • Equity product knowledge covering cash and derivatives
  • Understand FIX messaging standard and the order lifecycle of trading systems
  • In-depth knowledge of kdb+/Q to construct a scalable architecture in the backend and also maintain a client facing API in multiple languages in order to support various access patterns
  • Strong Scripting skills in Unix/Linux (Shell/Perl/Python/...)
  • Desire to explore the underlying details and provide the root cause analysis on inquiries
  • Good Team player with excellent interpersonal skills and integrity
  • Knowledge of Continuous integration tools like Jenkins
  • Exposure to source code management tools - svn, git

Desired skills.

  • Experience in R is a plus
  • Exposure to Agile development model

Randstad Technologies

Office phone: 973-658-5749

Mobile phone: 908-619-9353

Matias.Rodriguez@randstadusa.com

www.randstadusa.com

 
location: New York, New York
job type: Permanent
salary: $170,000 - 180,000 per year
work hours: 9 to 5
education: Bachelors
 
responsibilities:
  • Working directly with users and analysts to translate business use cases into precise functional and technical requirements
  • Mentor a team of junior kdb+ developers and establishing standards
  • Design and develop distributed, high volume, high velocity real-time and historical systems using kdb+ technology
  • Leveraging kdb+ as a core component to build out a data science framework to support quant research and development
  • Integrate OMS and Market data to derive the necessary analytics to support Transaction Cost Analysis and other internal trading systems
  • Provide support and tools to allow end users to identify the underlying data issues or performance outliers
 
qualifications:
  • 10+ years of experience as a professional Software Engineer
  • Experience in KDB+/Q in the financial industry is a must
  • Experience building & maintaining large-scale KDB ticker plants
  • Equity product knowledge covering cash and derivatives
  • Understand FIX messaging standard and the order lifecycle of trading systems
  • In-depth knowledge of kdb+/Q to construct a scalable architecture in the backend and also maintain a client facing API in multiple languages in order to support various access patterns
  • Strong Scripting skills in Unix/Linux (Shell/Perl/Python/...)
 
skills:
  • Desire to explore the underlying details and provide the root cause analysis on inquiries
  • Good Team player with excellent interpersonal skills and integrity
  • Knowledge of Continuous integration tools like Jenkins
  • Exposure to source code management tools - svn, git
  • Experience in R is a plus
  • Exposure to Agile development model

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

skills

  • Desire to explore the underlying details and provide the root cause analysis on inquiries
  • Good Team player with excellent interpersonal skills and integrity
  • Knowledge of Continuous integration tools like Jenkins
  • Exposure to source code management tools -  svn, git
  • Experience in R is a plus
  • Exposure to Agile development model

qualification

  • 10+ years of experience as a professional Software Engineer
  • Experience in KDB+/Q in the financial industry is a must
  • Experience building & maintaining large-scale KDB ticker plants 
  • Equity product knowledge covering cash and derivatives
  • Understand FIX messaging standard and the order lifecycle of trading systems
  • In-depth knowledge of kdb+/Q to construct a scalable architecture in the backend and also maintain a client facing API in multiple languages in order to support various access patterns
  • Strong Scripting skills in Unix/Linux (Shell/Perl/Python/…)
  •  

responsibilities

  • Working directly with users and analysts to translate business use cases into precise functional and technical requirements
  • Mentor a team of junior kdb+ developers and establishing standards
  • Design and develop distributed, high volume, high velocity real-time and historical systems using kdb+ technology
  • Leveraging kdb+ as a core component to build out a data science framework to support quant research and development
  • Integrate OMS and Market data to derive the necessary analytics to support Transaction Cost Analysis and other internal trading systems
  • Provide support and tools to allow end users to identify the underlying data issues or performance outliers

educational requirements

Bachelors