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Java Quant Developer Jobs in Ashburn, VA (NOW HIRING)

Leidos

Data Scientist

Springfield, VA · On-site

$92K - $166K/yr

Quantitative BS + 10 yrs or quantitative MS + 7 yrs. * Programming (Python/Pig/Java/JS/SQL/R), spatial analysis, data mining, database structures, visualization. * Statistical/mathematical modeling.

Leidos

Data Scientist

Springfield, VA

$92K - $166K/yr

Quantitative BS + 10 yrs or quantitative MS + 7 yrs. * Programming (Python/Pig/Java/JS/SQL/R), spatial analysis, data mining, database structures, visualization. * Statistical/mathematical modeling.

SOSi

Data Scientist III

Washington, DC · On-site

Experience with programming languages including Python, JSON, C++, Java, R, or Scala * Experience ... Master's or PhD in a quantitative field, or equivalent experience • Certifications: * Certified ...

SOSi

Data Scientist III

Washington, DC

Experience with programming languages including Python, JSON, C++, Java, R, or Scala * Experience ... Master's or PhD in a quantitative field, or equivalent experience Certifications: * Certified ...

SOSi

Data Scientist III

Washington, DC

Experience with programming languages including Python, JSON, C++, Java, R, or Scala * Experience ... Master's or PhD in a quantitative field, or equivalent experience · Certifications: * Certified ...

Geico

Sr. Software Engineer

Bethesda, MD · On-site

$131K - $172K/yr

Advanceed knowledge of at least one OOP language such as Java, Go, Python, etc. * Great ... Experience solving analytical problems with quantitative approaches * Knowledge of developer ...

GEICO

Sr. Software Engineer

Bethesda, MD · On-site

$131K - $172K/yr

Advanceed knowledge of at least one OOP language such as Java, Go, Python, etc. * Great ... Experience solving analytical problems with quantitative approaches * Knowledge of developer ...

Air

Senior Data Analyst

Arlington, VA

$98K - $124K/yr

Senior Implementation Engineers at Air have a quantitative mindset and firm understanding of how to ... Familiarity with other skills such as Excel, React, Typescript, Java, C, GoLang. * 6-10 years ...

Air

Senior Data Analyst

Arlington, VA · On-site

$98K - $124K/yr

Senior Implementation Engineers at Air have a quantitative mindset and firm understanding of how to ... Familiarity with other skills such as Excel, React, Typescript, Java, C, GoLang. * 6-10 years ...

Air

Senior Data Analyst

Arlington, VA · On-site

$98K - $124K/yr

Senior Implementation Engineers at Air have a quantitative mindset and firm understanding of how to ... Familiarity with other skills such as Excel, React, Typescript, Java, C, GoLang. * 6-10 years ...

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All JobsJava Quant Developer JobsJava Quant Developer Jobs in Ashburn, VA

Java Quant Developer information

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$15

$57

$79

How much do java quant developer jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for java quant developer in Ashburn, VA is $57.98, according to ZipRecruiter salary data. Most workers in this role earn between $50.14 and $64.90 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
Test Systems Engineer Senior-Level 112-054

Test Systems Engineer Senior-Level 112-054

IC-CAP LLC

Chantilly, VA • On-site

Full-time

Posted 26 days ago

Job description

Test Systems Engineer (Senior):
Overall Assignment Description:
Senior-level Test Systems Engineers assist in leading Application, System and Integration Testing teams performing test and evaluation across NSG, ASG and Federal Agencies to ensure timely and accurate GEOINT. This task is focused on providing technical advisory support to identify capabilities, tools, technologies, and new agile methods and techniques ready to adapt to current innovations within AI R&D for Test and Evaluation (T&E) Automation and Verification of AI models.
Duties include:
  • Perform appropriate diagnostic testing on AI/ML systems and applications, measuring performance and efficiency on said systems/applications, documentation, and maintenance solutions for systems or subsystems and making recommendations to the government.
  • Create and maintain technical framework to execute specifications to pass system level integration
  • Prepare and publish presentations and participate in conferences, webinars, and online events Design and Develop quantitative, qualitative, or mixed-method tools, techniques, and methodologies to analyze, assess, benchmark, and monitor AI risk and related impacts.
  • Assists the Government in providing requirements engineering, solutions engineering, scheduling, reliability, resiliency, services development, integration, test and evaluation, maintainability and analysis across the NSG, ASG and Federal Agencies.
  • Assist Government in the creation of foundation of AI Assurance capabilities, including thorough formal methods for trusted and trustworthy eXplainable AI (XAI) and /or Independent Verification & Validation methodologies (IV&V) for AI (beyond T&E), T&E/V&V-As-a-Service Advises the Government on proposed changes to the solutions designs based on analysis of requirements and new technology towards AI Assurance for best AI Governance.
  • Formulate descriptive, diagnostic, predictive and prescriptive insights/algorithms and translate technical specifications into development code.
  • Conduct statistical analysis and interpreting the results to guide the governments decision-making process.
  • Create and lead algorithm governance process that leverage metrics to ensure performance and compliance with the principles established by the DOD and the ODNI
  • Document procedures for installation and maintenance, complete programming, perform testing and debugging, define and monitor performance metrics.
  • Rapidly iterate AI models and results to refine and validate approach for accuracy and repeatability. Create, Develop and Define business processes and acceptance criteria to support testing and evaluation,
  • Author test planning documentation to include test cases and reports and experience running test scenarios within Dev/Test Environment and identify and report potential issues.
  • Develop deep learning frameworks and models, GPU acceleration, model optimization, real-time streaming data, and distributed computing.
  • Develop test procedures to support the AI model independent verification and validation approach and sync with cross functional groups for alignment.
  • Evaluate and test the front to end acceptance criteria of the full AI model architecture to provide feedback to the developer teams and the government

Skills and Experience:
Required:
  • Senior level working experience in understanding scripting, statistics, and a have computer vision background
  • 10+ years experience with three or more of the following: JMeterand, Jenkins, Docker, Postman, Swagger, Nexus, Apigee or GitHub/GitLab (or equivalent software packages), Java, Bash, Curl, XML, JSON, SQL, Python, Javascript, or AWS or C2S.
  • Experience in both quantitative and qualitative analysis to support sound metrics to uphold the confidence of the AI model assurance.
  • Senior level working experience with traditional, Agile, and DevOps development practices and associated testing strategies.
  • Experience using Test Driven Development leveraging computer programming languages to include but not limited to; Python, C++, Matlab, R, Java
  • Experience in the field of geospatial intelligence
  • Knowledge of AI Assurance, T&E or V&V-As-a-Service, and XAI.
  • Experience designing quality engineering solutions using Automation, Augmentation and Artificial Intelligence technologies
  • Experience coding and developing test and evaluations for AI programs
  • Experience in SAFe framework and Model Based Systems Engineering

Desired:
  • Demonstrated experience in Atlassian products such as Confluence and JIRA
  • Demonstrated experience working with NGA Enterprise solutions to include CI/CD pipeline and DevSecOps.
  • Demonstrated experience engineering solutions using Cloud-based technologies.
  • Demonstrated experience with internal and external program transitions and technical capabilities
  • Demonstrated experience engineering solutions using structured and unstructured Big Data.

Education and Experience:
  • 12 to 18 years' experience.
  • Bachelors degree or higher in Mathematics, Statistics, Computer Vision, Artificial Intelligence, Machine Learning, or related STEM degree program, or equivalent expert level work experience as aTest Systems Engineer.

Security Clearance:
  • DoD Approved Clearance and Poly

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