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Java Quant Developer Jobs in Virginia (NOW HIRING)

Athari

Data Scientist

Lexington, VA · On-site

$103 - $138/hr

... Yes Quantitative relevancy analysis and tuning 5 years Vector embeddings semantic search 5 years Programming C/C++, Java, Python, Bash, SQL, Java Script / HTML / CSS, Matlab 5 years Software Tools ...

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 Excel, React, Typescript, Java, C, or GoLang is a plus. * 6-10 years experience ...

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 Excel, React, Typescript, Java, C, or GoLang is a plus. * 6-10 years experience ...

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 Excel, React, Typescript, Java, C, or GoLang is a plus. * 6-10 years experience ...

RIVIDIUM

Data Engineer

Quantico, VA

$123K - $148K/yr

Proficiency in SQL and programming languages such as Python, Java, R, or Scala * Experience working ... Knowledge of DevOps/DataOps practices, including CI/CD for data pipelines * Familiarity with ...

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How much do java quant developer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for java quant developer in Virginia is $56.21, according to ZipRecruiter salary data. Most workers in this role earn between $48.61 and $62.93 per hour, depending on experience, location, and employer.

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.

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.

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Java Quant Developer jobs near you

Quantitative Analytics Senior (Credit Risk Modeling)

Freddie Mac

Mclean, VA • On-site

$126K - $190K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Freddie Mac rating

9.2

Company rating: 9.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.
Position Overview:
Freddie Mac's Single-Family Division is currently seeking a Quantitative Analytics Senior to be responsible for the development and execution of statistical models and applications in support of business and risk decisions as a member of the Credit Risk Modeling Team.
Our Impact:
Our team is responsible for the development and analytic support of credit risk models, supports the single-Family business for risk decisions. We apply econometric, machine learning and statistical modeling to understand business problems and produce credit risk forecast for the mortgage portfolio.
Your Impact:
  • Developing analytical methods and models that assess the credit risk of new and existing financial and mortgage products.
  • Providing innovative, detailed and practical solutions to an extensive range of fast paced and complicated problems.
  • Developing and validating loss forecasting models, conducting research on improvements to the existing models, and applying industry standard methodologies and techniques to meet various business needs.
  • Coordinating the testing through the model implementation, conducting back tests to monitor the model performance, and performing economic tests and stress tests to validate the model forecast results.
  • Providing modeling and analytical support to a line of business or product area, functioning as day-to-day technical specialist.
  • Preparing documentation for the technical analytics and rationale through the model development to comply with model oversight and support model review for approval.
  • Working under limited direction, independently determining and developing approach to solutions.

Qualifications:
  • PhD in Economics, Statistics, Math, Computer Science or a related quantitative field; or Master's degree with at least 3 years of related post-graduate work experience
  • Strong programming skills in Python, SQL, SAS and Unix
  • Experience with programming language such as R, VBA, Java or C++
  • Experience working with large data sets and relational database
  • Experience working with mortgage or consumer credit risk models, prepayment models and severity models
  • Experience with competing-risk hazard models, transition models, loss forecasting and stress testing
  • Experience in data science, machine learning and related technologies

Keys to Success in this Role:
  • Outstanding quantitative, empirical analysis, and research skills
  • Solid understanding of econometric models, tools and techniques
  • Strong programming skills

Current Freddie Mac employees please apply through the internal career site.
We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.
CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.
Time-type:Full time
FLSA Status:Exempt
Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.
This position has an annualized market-based salary range of $126,000 - $190,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.

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About Freddie Mac

Sourced by ZipRecruiter

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1970

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