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Internship Kdb Q Developer Jobs (NOW HIRING)

Experience with Q programming language * Familiarity with real-time KDB+ applications process terabytes of data on a daily basis * Excellent spoken and written communication to support users and ...

KDB+ Consultant

New York, NY · On-site

$82.49K - $116K/yr

Required Skill and Experience • Understanding Q language syntax, data structures, datatypes • Proficiency in array-oriented programming • Knowledge on q-SQL and KDB specific joins. (asof/window ...

... programming • Knowledge on q-SQL and KDB specific joins. (asof/window) • Understanding of kdb+ database concepts including knowledge of how data is stored, managed, and queried within the kdb ...

They are looking for a highly motivated, talented and responsible front-end development engineer ... Prior experience in KDB/Q is a plus Thank you for illuminating hiring with Quanta Search! www ...

Job Title BS or Master's in Computer Science, Engineering, or Mathematics 5+ years of analysis ... KDB/Q code is a plus Experience with financial systems is a plus Ability to quickly learn, adapt ...

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Internship Kdb Q Developer information

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How much do internship kdb q developer jobs pay per hour?

As of May 28, 2026, the average hourly pay for internship kdb q developer in the United States is $22.89, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $24.28 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Kdb Q Developer, and why are they important?

To thrive as an Internship Kdb Q Developer, you need a solid background in computer science, mathematics, or a related field, and a basic understanding of programming concepts. Familiarity with kdb+/q, relational databases, and scripting languages like Python, along with exposure to data analysis tools, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help interns excel in collaborative and fast-paced environments. These skills and qualities are crucial for efficiently handling large datasets, optimizing queries, and contributing valuable insights to financial or data-driven teams.

What are some common challenges faced by Internship Kdb Q Developers when transitioning from academic projects to real-world financial data environments?

Internship Kdb Q Developers often find that working with real-world financial data is significantly more complex than academic examples. Challenges include understanding large-scale, high-frequency datasets, adapting to strict performance requirements, and learning industry-specific protocols and compliance standards. Additionally, interns must quickly become proficient in optimizing Q scripts for speed and scalability while collaborating closely with senior developers, data analysts, and traders. Overcoming these hurdles provides valuable hands-on experience and a strong foundation for a career in quantitative development.

What does an Internship Kdb Q Developer do?

An Internship Kdb Q Developer assists in developing and maintaining high-performance database solutions using kdb+ and the q programming language, commonly used in financial services for processing large volumes of time-series data. Interns typically work on tasks such as optimizing queries, writing scripts, and supporting data analysis for trading or risk management systems. They collaborate with senior developers, gain hands-on experience with kdb+/q, and may participate in the design and implementation of new features or tools. This role provides valuable exposure to real-time data environments and the financial technology industry.

What is the difference between Internship Kdb Q Developer vs Kdb Q Developer?

AspectInternship Kdb Q DeveloperKdb Q Developer
CredentialsTypically pursuing or recently completed relevant educationProfessional experience, possibly certifications in Kdb+/q
Work EnvironmentTraining-focused, supervised projectsFull-time, independent project work
Industry UsageEntry-level roles in finance, trading firms, or tech companiesMid-level to senior roles in finance, trading, or data analytics

The main difference between an Internship Kdb Q Developer and a Kdb Q Developer is experience level. Internships are designed for students or recent graduates gaining initial exposure, often under supervision. In contrast, Kdb Q Developers are experienced professionals handling complex data tasks independently. Interns focus on learning and supporting projects, while full developers lead development and optimization efforts in their organizations.

What cities are hiring for Internship Kdb Q Developer jobs? Cities with the most Internship Kdb Q Developer job openings:
What are the most commonly searched types of Kdb Q Developer jobs? The most popular types of Kdb Q Developer jobs are:
What states have the most Internship Kdb Q Developer jobs? States with the most job openings for Internship Kdb Q Developer jobs include:
Infographic showing various Internship Kdb Q Developer job openings in the United States as of May 2026, with employment types broken down into 16% Internship, 80% Full Time, 3% Part Time, and 1% Contract. Highlights an 73% Physical, 1% Hybrid, and 26% Remote job distribution, with an average salary of $47,621 per year, or $22.9 per hour.

Equity Quantitative Researcher/Developer

Verition Group LLC

New York, NY • On-site

$150K - $200K/yr

Full-time

Posted 7 days ago


Job description

Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.
A portfolio manager is seeking a Quantitative Researcher/Developer to support both research and development efforts for equity systematic strategies.
Responsibilities:
  • Short-term alpha signal research with tick-level data
  • Help build and maintain research framework and data pipeline
  • Help the portfolio manager cover trading

Qualifications:
  • 1+ year of experience in a related position, ideally at a hedge fund/prop shop
  • A bachelor's or above degree in STEM with good knowledge of quantitative methods
  • Strong programming skills. Proficient in Python (for both development and data analysis). Experience with C++ and/or KDB/q highly preferred
  • Experience with short-term US equity strategies highly valued
  • Prior experience with tick level data and knowledge of market microstructure preferred
  • Experience in machine learning preferred
  • Experience with distributed computing and cloud services a plus

Salary Range
$150,000-$200,000 USD