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Manager Kdb Jobs (NOW HIRING)

Chobani

Aseptic Operator D Shift Night

Twin Falls, ID · On-site

$15.50 - $18.50/hr

Managing CIPs on Aseptics/A-Tanks (similar to KDB Op) * Must take CIP samples (similar to KDB Op) * Responsible for starting production on Aseptics/A-Tanks (similar to KDB Op) * Responsible for ...

PTR Global

Database Developer

Manhattan, NY · On-site

$60 - $64/hr

Moving KDB data to Snowflake. * Data Management, Model, Access Controls, Review how client is moving the data into snowflake. * Liase with the business on how to do this. * GDM-Tech (Global Data Mart ...

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Chobani

Aseptic Operator D Shift Night

Twin Falls, ID

$15.50 - $18.50/hr

Managing CIPs on Aseptics/A-Tanks (similar to KDB Op) * Must take CIP samples (similar to KDB Op) * Responsible for starting production on Aseptics/A-Tanks (similar to KDB Op) * Responsible for ...

Chobani

Aseptic Operator D Shift Night

Twin Falls, ID · On-site

$15.50 - $18.50/hr

Managing CIPs on Aseptics/A-Tanks (similar to KDB Op) * Must take CIP samples (similar to KDB Op) * Responsible for starting production on Aseptics/A-Tanks (similar to KDB Op) * Responsible for ...

Geneva Trading

Data Engineering Manager

Chicago, IL · On-site

KDB+/Q Design, maintain, and improve the KDB+/Q platforms that hold our real-time and historical ... Managing retention and data lifecycle policies * Keeping the platform maintainable as data volumes ...

ECI Group

Senior DevOps Engineer - Trading & Supply

Houston, TX · On-site

$124K - $159K/yr

... management, arbitration and message queueing • 5 years+ operational experience in supporting time series frameworks such as kdb, shakti • Minimum of 8 years of knowledge of Realtime Market Data ...

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Manager Kdb information

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$23K

$61.4K

$102.5K

How much do manager kdb jobs pay per year?

As of Aug 10, 2026, the average yearly pay for manager kdb in the United States is $61,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $69,000.00 per year, depending on experience, location, and employer.

What is the difference between Manager Kdb vs Data Analyst?

AspectManager KdbData Analyst
Required CredentialsBachelor's degree in Computer Science, Data Science, or related field; experience with Kdb+/q languageBachelor's degree in Statistics, Mathematics, or related field; proficiency in SQL, Excel, and data visualization tools
Work EnvironmentFinancial services, trading firms, or tech companies focusing on real-time data processingVarious industries including finance, marketing, healthcare, analyzing and interpreting data
Employer & Industry UsageUsed in firms requiring high-speed data analysis and time-series data managementCommon across industries for data reporting, insights, and decision-making support

The Manager Kdb typically oversees data operations involving Kdb+/q, focusing on real-time data management, while Data Analysts interpret data to generate reports and insights. Both roles require strong analytical skills, but Manager Kdb positions often demand more technical expertise and experience with specific data tools.

More about Manager Kdb jobs
What cities are hiring for Manager Kdb jobs? Cities with the most Manager Kdb job openings:
What are the most commonly searched types of Kdb jobs? The most popular types of Kdb jobs are:
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Manager Kdb jobs near you
Infographic showing various Manager Kdb job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $61,351 per year, or $29.5 per hour.

Quantitative Researcher - Volatility

Squarepoint Capital

New York, NY • On-site

$185K/yr

Full-time

Posted 13 days ago

Job description

Squarepoint Services US LLC seeks a Quantitative Researcher Volatility Team for its New York, New York location.
Duties: On behalf of an investment management firm formulate mathematical and simulation models of investment strategies, relating constants and variables, restrictions, alternatives, conflicting objectives, and numerical parameters for the enhancement of trading through computerized algorithms, as well as implementation of models. Utilize comprehensive knowledge of mathematical models and technologies, statistical techniques including regression analysis, machine learning, and statistical inference, and financial and computer skills in order to enhance investment strategies based on equities or other asset classes. Produce and implement sophisticated analyses describing new statistical effects, assessing robustness of effects, and developing new quantitative strategies making use of such effects. Perform validation and testing of both trading simulations and critical trading applications. Build applications utilizing Shell and Python to automate daily data dependency processing for trading strategies. Utilize KDB/Q and Python to analyze existing strategy behavior and propose and implement improvements. Utilize Excel/VBA mathematical models and KDB analysis tools to track market history of specific asset classes to evaluate future profit potentials and risk margins. Manage live trading automatons and perform continuous monitoring of risk related to live trading automatons. Leverage on asset-class-specific experience to find new patterns in market data and explore new methods to optimize execution costs. Utilize extensive knowledge of market structure and statistical arbitrage to improve on existing trading strategies and develop new trading strategies. Assist team's senior quantitative researcher's efforts in building, validating, releasing, and maintaining highly complex automated trading models. Pilot research projects spanning multiple teams across multiple regions to develop new mathematical models and analytical tools for critical investment decision making.
Requirements: Must have a minimum of a Master's degree or foreign equivalent in Financial Engineering / Financial Mathematics or related and 1 year of experience as a Quantitative Researcher, Quantitative Trader, or related position for a hedge fund or market maker. Must have at least one (1) years of employment experience with each of the following required skills: Utilize options knowledge to perform asset specific research and engage in real trading. Analyze, optimize, and blend different styles of signals that predict various targets in options market. Conduct option portfolio construction based on mathematical optimization problems. Simulate different systematic trade ideas and evaluate backtest performance. Develop monitoring reports for live strategies and perform risk management. Program in kdb+/q and python for data analysis and strategy development
Salary / Rate Minimum/yr: $160,000
Salary / Rate Maximum/yr: $185,000
40 hours/week. The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available. Squarepoint is an EEO/AA employer

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