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

Data Scientist

Springfield, VA · On-site

$92.30 - $166.85/hr

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.

New

Senior Implementation Engineers at Air have a quantitative mindset and firm understanding of how to ... Familiarity with Excel, React, Typescript, Java, C, or GoLang is a plus. * 6-10 years experience ...

Senior Implementation Engineers at Air have a quantitative mindset and firm understanding of how to ... Familiarity with Excel, React, Typescript, Java, C, or GoLang is a plus. * 6-10 years experience ...

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 ...

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.

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.

Showing results 21-40

Java Quant Developer information

See Alexandria, VA salary details

$16

$60

$82

How much do java quant developer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for java quant developer in Alexandria, VA is $60.68, according to ZipRecruiter salary data. Most workers in this role earn between $52.50 and $67.93 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.
What are popular job titles related to Java Quant Developer jobs in Alexandria, VA? For Java Quant Developer jobs in Alexandria, VA, the most frequently searched job titles are:
What job categories do people searching Java Quant Developer jobs in Alexandria, VA look for? The top searched job categories for Java Quant Developer jobs in Alexandria, VA are:
What cities near Alexandria, VA are hiring for Java Quant Developer jobs? Cities near Alexandria, VA with the most Java Quant Developer job openings:
Infographic showing various Java Quant Developer job openings in Alexandria, VA as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $126,223 per year, or $60.7 per hour.

$74K/yr

Full-time

Re-posted 16 days ago


Job description

DDI Data Engineers solve critical data challenges by building optimal data pipelines, analyzing and transforming data, and delivering data to systems to advance CIA's intelligence mission.Qualifications:Minimum Qualifications
Interested candidates should be passionate about the ideals of our American republic, committed to upholding the rule of law and the U.S. Constitution, and committed to improving the efficiency of the Federal government. Hiring decisions will not be based on race, sex, color, religion, or national origin.
  • Proficiency with computer programming languages like Python, Java, Scala, or equivalent Object-Oriented Programming Language and knowledge of SQL
  • Knowledge of data ingestion, transformation, modeling, and storage:
    • Strong critical thinking and problem-solving skills
    • Ability to work independently and in groups within a team environment.
    • Curiosity, creativity, and initiative
  • Ability to meet the minimum requirements for joining CIA, including U.S. citizenship and a background investigation
Desired Qualifications
  • Prior experience related to data engineering, data science, data architecture, database and search technologies
  • Experience analyzing or processing bulk datasets
  • Experience with signal/image processing, geospatial modeling or voice/data communications
  • Prior application of serverless design patterns, such as serverless applications or websites
  • Understanding of scaling and performance of distributed/cloud systems
  • Understanding of data science concepts, AI/ML, automation, and scripting
Education:
  • Bachelor's degree in one of the following fields or related studies:
    • Computer Science
    • Computer/Electrical Engineering or related field
    • Data Science or related quantitative field
    • Information Science/Technology
    • Forensics (Digital Forensics, Forensic Science, and Technology)
    • Mathematics/Statistics
  • At least a 3.0 GPA on a 4-point scale
Employment Type: OTHER