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WallStreetQuants

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

As a Quantitative Developer Intern, you will work closely with quantitative researchers, traders ... Strong programming skills in Python, C++, Java, C#, Rust, or another modern programming language.

WallStreetQuants

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

As a Quantitative Developer Intern, you will work closely with quantitative researchers, traders ... Strong programming skills in Python, C++, Java, C#, Rust, or another modern programming language.

Deeter Analytics Inc

Quant Trading

$300K/yr

Key Responsibilities Quantitative Strategy Development & Research * Algorithm Design: Lead the ... Programming: Advanced expertise in at least one core language (Python, C++, or Java) and ...

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How much do java quant developer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for java quant developer in the United States is $56.70, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $63.46 per hour, depending on experience, location, and employer.

How does a Java Quant Developer typically collaborate with quantitative analysts and traders within a financial firm?

As a Java Quant Developer, you will work closely with quantitative analysts (quants) and traders to translate complex mathematical models into robust, efficient code. Collaboration often involves frequent discussions to clarify model specifications, optimize algorithms for speed, and ensure accurate integration with trading platforms. You'll participate in code reviews, daily stand-ups, and sometimes even sit on the trading floor to gain firsthand insights into how your solutions impact trading strategies. This close teamwork helps ensure that models are delivered quickly and perform reliably in real-market conditions.

What are the key skills and qualifications needed to thrive as a Java Quant Developer, and why are they important?

To thrive as a Java Quant Developer, you need strong programming skills in Java, a solid grasp of quantitative finance, and typically a degree in computer science, mathematics, or a related field. Familiarity with financial libraries, statistical analysis tools, and experience using version control systems like Git are commonly expected, along with knowledge of databases such as SQL. Exceptional analytical thinking, problem-solving ability, and effective communication skills help you collaborate with traders and other stakeholders. These capabilities ensure the development of robust, efficient trading solutions that meet complex financial requirements and perform reliably in high-stakes environments.

What is a Java Quant Developer?

A Java Quant Developer is a software engineer who specializes in developing quantitative models and trading systems using the Java programming language. They work closely with quantitative analysts (quants) to implement mathematical models that help financial firms make trading decisions, manage risk, and analyze large datasets. Their responsibilities typically include designing, coding, testing, and optimizing high-performance applications for financial markets. A strong background in mathematics, finance, and computer science is usually required, along with expertise in Java and related technologies.
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Java Quant Developer jobs near you
Infographic showing various Java Quant Developer job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $117,931 per year, or $56.7 per hour.
Quantitative Developer___ Chicago, IL (Onsite) ___ Contract

Quantitative Developer___ Chicago, IL (Onsite) ___ Contract

Acestack

Chicago, IL • On-site

Contractor

Posted 6 days ago

Job description

Job Title: Quantitative Developer
Location: Chicago, IL – 100% Onsite from day 1.
Long Term Contract – W2 / C2C

Job Summary: We are seeking a highly experienced and adaptable Quantitative Developer to join our team in Chicago. This role requires a unique blend of strong quantitative and technical skills, deep financial domain knowledge, and a proactive learning attitude. You will collaborate closely with quantitative researchers, risk managers, and portfolio management teams to design, develop, and optimize analytical tools and models in a high-performance computing environment.

 Key Responsibilities
  • Design and implement production-grade code that translates quantitative models into efficient and scalable solutions.
  • Work closely with Quantitative Research, Risk, and Equity Portfolio Management teams to support model development and risk analytics.
  • Contribute across the software development lifecycle including requirements analysis, coding, testing, and deployment.
  • Build solutions using a wide array of technologies including Python, PySpark, R, Java, and cloud-based big data platforms like Databricks.
  • Develop in both real-time and batch-oriented architectures.
  • Employ Test-Driven Development (TDD) to ensure code quality, scalability, and maintainability.
  • Continuously explore and integrate modern technologies and industry best practices into development processes.
  • Communicate complex quantitative and technical concepts effectively to non-technical stakeholders.
Required Qualifications
  • Education: Master’s or Ph.D. in Computer Science, Mathematics, Financial Engineering, or a related quantitative field from a reputed institution.
  • Experience:
    • Overall 12+ years of IT experience.
    • Must have at least 5-8+ years of progressive experience in software engineering and quantitative development.
  • Technical Skills:
    • Proficiency in Python and PySpark (must-have), with hands-on experience in R and Java.
    • Strong experience with data processing libraries such as Pandas, Polars, CuML, etc.
    • Familiarity with cloud big data platforms, particularly Databricks.
    • Experience working with large datasets and building scalable data pipelines.
  • Domain Knowledge: Solid understanding of financial instruments including securities and derivatives, along with capital markets structure.
  • Development Practices: Strong commitment to clean code, adaptive systems, and iterative design using TDD methodologies.
  • Soft Skills:
    • Quick to learn new technologies and quantitative methods.
    • Able to explain technical strategies and solutions to both technical and business audiences.
Preferred Attributes
  • Exposure to quantitative research and alpha modeling.
  • Experience building risk engines or simulation frameworks.
  • Familiarity with orchestration frameworks like Airflow or equivalent.
  • Ability to work in a fast-paced, collaborative environment with minimal supervision.

To Apply: Please share resume to Anamikav@acestackllc.com

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About AceStack

Sourced by ZipRecruiter

AceStack is a global IT consulting & Staffing agency. We deal in Health care (Nursing, Allied, Clinical/Non-clinical) Staffing, Engineering Staffing & I.T. Staffing. Founded in 2017 in New Jersey, AceStack has reported consistent growth and profit every year and carries zero debt. AceStack consultants are placed across USA, Canada, Mexico, and Asia. In addition to our headquarters in New Jersey – USA, we also have offices in Canada, Noida, and Ahmedabad. AceStack’s exceptionally high-touch service keeps our clients satisfied and our Consultants/Travelers engaged. We believe in investing in our Consultants/Clients in a variety of ways. We employ AceStack ambassador who helps guide Consultants through the on-boarding process and ensure the transition into their new role with our Client is seamless. We also have dedicated Consultant care representatives located throughout our organization who provide the same level of attention throughout our Consultant’s tenure. Due to this level of attention and care, AceStack enjoys not only one of the highest retention rates in the staffing industry but also one of the highest redeployment rates in the industry.

Company size

51 - 200 Employees

Headquarters location

NJ, US

Year founded

2017

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