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Java Quant Developer Jobs in Somerville, MA (NOW HIRING)

Senior Software Engineer

Boston, MA

$133K - $175K/yr

Ability to develop software in Java, JavaScript, PL/SQL, or other programming languages. Experience ... Strong analytical and quantitative skills, with the ability to connect product design and features ...

Qualifications REQUIRED SKILLS Outstanding technical abilities with 5+ years of Scala, Java, or C/C ... Engineering, Mathematics or other quantitative fields. Experience with Spark, Kaplan, Breeze, map ...

Qualifications REQUIRED SKILLS Outstanding technical abilities with 5+ years of Scala, Java, or C/C ... Engineering, Mathematics or other quantitative fields. Experience with Spark, Kaplan, Breeze, map ...

You will work closely with our R&D team and security experts as well as software engineers in ... D. or Masters in Computer Science, Math, Statistics, or related quantitative discipline o ...

... quantitative field * 5+ years of experience delivering machine learning solutions in production * Strong programming skills in Python (Java/SQL a plus) * Hands-on experience with NLP and document ...

Experience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc ... A Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field * years of ...

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Java Quant Developer information

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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 Somerville, MA is $61.87, according to ZipRecruiter salary data. Most workers in this role earn between $53.51 and $69.23 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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Software Engineer - Analytics Engine (Scala, Spark)

Software Engineer - Analytics Engine (Scala, Spark)

Roberts Recruiting

Boston, MA • On-site

$60.50 - $80/hr

Other

Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

About the Role
We're seeking a Software Engineer to design and develop our Predictive Analytics Engine. Successful candidates will live and breathe server-side development and be very interested in delivering Big Data commercial software at scale. This role will work closely with our research team to define, implement, and improve the technology at the heart of our personalization service.
Responsibilities
  • DeliverSoftware to the Market.Design, code, and test high quality software in Scala that will be used by millions of consumers every day.Drive solutions from end to endin an agile, iterative, environment.
  • Use Machine Learning.Applymachine learning techniques todesign and build software approaches for matching consumers with the apparel they love and that fits them well.
  • Create Algorithms that Scale.Design, validate, and implement custom algorithms in conjunction with our team of data scientists.You will need to figure out how wrangle Big Data into real-world applications where there isn'ttime to hit a disk.
  • Learn. Quickly learn and use new technologies: Scala, Machine Learning, Distributed Computing, Spark, Hadoop.
  • Focus on Performance.Performance is at the center of everything we do, and we have to be that way to service recommendations in under ten milliseconds.
  • Work with others.You will work with product managers and scientists to come up with ways to invent, productize, and support predictive analytics applications.
Qualifications and Skills
  • 4+ years as a software engineerwith progressive levels of responsibility
  • Scalapreferred,Java or C++ acceptable,Python helpful
  • Commercial software:Significant experience developing and releasing commercial software products that use analytic or machine learning technologies to solve business problems.
  • Machine learningtechniques and technologieshelpful.
  • Big Dataexperience with Spark helpful: expert skills designing for large data,relational databases and experience withHadoop, enterprise-level data management experience crunching vast amounts of data.
  • Software Design:Ability to understand business requirements and develop analytic solutions to complex problems.
  • Software Analysis: Ability to analyze complex data and present results to business users; report building and data visualization skills a plus.
  • Undergraduate degreein a quantitative field (Math, Physics, Engineering, and/or Computer Science) is required.
  • Motivated:You love this stuff, are a self-starter with a can do attitude.
  • Soft skills:You havestrong listening and communications skills, and an ability to drive solutions independently.
Benefits and Perks
  • We offerour employeeshealth care, paid time off, retirement savings plans, parental leave, and professional development opportunities.
  • We also provide in-office meals; a fully stocked kitchen; an open office full of fun, generous, and friendly people; plus company outings.