Quant Developer KDB+/Python
Jersey City, New Jersey, United States of America
Contract
3 days ago
$72 - $82 USD
Key skills
PythonJavaShellAIMachine LearningMLAnalyticsAWSJenkinsGitGitHubCI/CD
About this role
RESPONSIBILITIES:
Kforce has a client that is seeking a Quant Developer KDG+/Python in Jersey City, NH.
Duties Include:
* Design, develop, and optimize KDB+ databases and q analytics for high-volume trading and market data
* Develop Python-based AI and quantitative models for research, prediction, classification, and signal generation
* Apply machine learning techniques to time series data (feature engineering, model training, evaluation)
* Build research and back testing frameworks integrating AI models with historical data
* Translate quantitative and ML research into robust, production-ready systems
* Integrate AI models into real-time and batch pipelines
* Optimize analytics and model evaluation for performance, stability, and scalability
* Collaborate with quants, product owners, and engineering teams on model deployment and monitoring
REQUIREMENTS:
* Bachelor's degree in Mathematics, Computer Science, Engineering, Information Technology, or equivalent
* 10+ years professional experience in quantitative finance or trading systems
Advanced proficiency in KDB+/q, including:
* Time series data modeling
* High-performance querying and joins
* Real-time and historical analytics
Strong Python skills for:
* Quantitative analysis
* AI/ML model development
* Integration with KDB+ and downstream systems
* Experience working with large-scale, high-frequency, or noisy datasets
* Solid software engineering practices (Git, testing, modular design)
* Worked with AI developer assist tools (e.g. GitHub Copilot)
* Experience with CI/CD tools such as GitHub, Maven, Jenkins, Artifactory, and uDeploy
* Hands-on experience in AWS or other cloud platforms
* Familiarity with object-oriented programming languages such as Java
* Experience in Linux, shell scripting, and production support experience
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Kforce has a client that is seeking a Quant Developer KDG+/Python in Jersey City, NH.
Duties Include:
* Design, develop, and optimize KDB+ databases and q analytics for high-volume trading and market data
* Develop Python-based AI and quantitative models for research, prediction, classification, and signal generation
* Apply machine learning techniques to time series data (feature engineering, model training, evaluation)
* Build research and back testing frameworks integrating AI models with historical data
* Translate quantitative and ML research into robust, production-ready systems
* Integrate AI models into real-time and batch pipelines
* Optimize analytics and model evaluation for performance, stability, and scalability
* Collaborate with quants, product owners, and engineering teams on model deployment and monitoring
REQUIREMENTS:
* Bachelor's degree in Mathematics, Computer Science, Engineering, Information Technology, or equivalent
* 10+ years professional experience in quantitative finance or trading systems
Advanced proficiency in KDB+/q, including:
* Time series data modeling
* High-performance querying and joins
* Real-time and historical analytics
Strong Python skills for:
* Quantitative analysis
* AI/ML model development
* Integration with KDB+ and downstream systems
* Experience working with large-scale, high-frequency, or noisy datasets
* Solid software engineering practices (Git, testing, modular design)
* Worked with AI developer assist tools (e.g. GitHub Copilot)
* Experience with CI/CD tools such as GitHub, Maven, Jenkins, Artifactory, and uDeploy
* Hands-on experience in AWS or other cloud platforms
* Familiarity with object-oriented programming languages such as Java
* Experience in Linux, shell scripting, and production support experience
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.