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Java Quant Developer Jobs in Santa Clara, CA (NOW HIRING)

Strong programming skills in Python or Java/Scala * Experienced in engineering data pipelines and ... related quantitative field; Master's Degree preferred Footer Intuit provides a competitive ...

Scala / Java, Python, R. * Outstanding quantitative and analytical ability. Able to take less-than ... Ability to apply software engineering best practices to build scalable, reliable ML pipelines.

Scala / Java, Python, R. * Outstanding quantitative and analytical ability. Able to take less-than ... Ability to apply software engineering best practices to build scalable, reliable ML pipelines.

... similar quantitative domain 3+ years experience with data analysis at web scale or relevant work experience Proficient in at least one programming/scripting language (e.g., Python, Scala, Java ...

... similar quantitative domain 3+ years experience with data analysis at web scale or relevant work experience Proficient in at least one programming/scripting language (e.g., Python, Scala, Java ...

Software Engineer

Mountain View, CA · Hybrid

$187K - $234K/yr

... quantitative discipline, plus three (3) months of experience in the job offered or in any ... You have experience with Java. * You have experience with Python. * You have experience with ...

Software Engineer

Mountain View, CA · Hybrid

$215K - $278K/yr

... related quantitative discipline, and six (6) months of experience in the job offered or in any ... You have experience with Java. * You have experience with Python. * You have experience with ...

Showing results 41-60

Java Quant Developer information

See Santa Clara, CA salary details

$18

$66

$90

How much do java quant developer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for java quant developer in Santa Clara, CA is $66.59, according to ZipRecruiter salary data. Most workers in this role earn between $57.60 and $74.52 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.

What are popular job titles related to Java Quant Developer jobs in Santa Clara, CA?

For Java Quant Developer jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Java Quant Developer jobs in Santa Clara, CA look for?

The top searched job categories for Java Quant Developer jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Java Quant Developer jobs?

Cities near Santa Clara, CA with the most Java Quant Developer job openings:

Staff Data Engineer - Dev360

Intuit

Mountain View, CA • On-site

$202K - $274K/yr

Full-time

Posted 22 days ago


Intuit rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

107th of 245 rated software companies


Job description

Join the Dev360 team that plays a crucial role in supporting Intuit's mission by providing a comprehensive view of how its applications are performing, enabling data-driven decisions to enhance customer experiences and improve operational efficiency.
Our charter is to enable Intuit's engineers and leaders to have
  • Access all the operational data they need, when they need it, to understand how our products are performing in the real world.
  • Easily track every step of the software development lifecycle, from code commits to customer adoption, and identify areas for improvement.
  • Contribute to building a cutting-edge data platform that empowers data-driven decisions across the entire company.

Responsibilities
  • Architect, design, and build fault-tolerant, scalable big-data platforms that support high-velocity, high-volume data use cases.
  • Collaborate cross-functionally with Product Management, Engineering, and Central Data Lake teams to guarantee the platform aligns with current requirements and maintains extensibility for future functionalities.
  • Develop and oversee scalable architectures for data normalization, lineage, governance, ontology, and discoverability, guaranteeing efficient integration throughout diverse systems and potentially disparate business units.
  • Data and Artificial Intelligence Enablement: Collaborate with domain event producers and product teams to determine, curate, and administer datasets essential for sophisticated analytics, encompassing Generative AI and Machine Learning, and deriving actionable customer intelligence.
  • Execute code reviews, promote coding best practices, and establish processes for unit testing, continuous integration/continuous delivery, performance testing, capacity planning, documentation, monitoring, alerting, and incident response.
  • Demonstrate leadership and cultivate an environment of ongoing education, mentoring junior team members in technical proficiency and collaborative problem resolution.

Qualifications
  • 8+ years of experience working with product analytics, web analytics or other similar data analytics domains
  • Advanced proficiency in SQL, "big data" technologies (e.g., Redshift, Spark, Hive, BigQuery), and BI tools (e.g., Tableau, Qlik, Dash)
  • Strong programming skills in Python or Java/Scala
  • Experienced in engineering data pipelines and workflow orchestration tools, Architecting E2E big data and analytical platforms
  • Understanding of AI-native architectures and GenAI platforms; able to assess implications for data, testing, and behavior
  • Strong business acumen and the ability to translate business strategy into testable hypotheses and learning agendas
  • Strong data storytelling skills, with a proven ability to rapidly construct impactful reports, communicate insights and influence leadership
  • Excellent communication and interpersonal skills, with a proven ability to build trust and collaborate seamlessly across technical, business, and cross-functional teams.
  • Comfortable working in a fast-paced environment and have flexibility to shift priorities when needed
  • Bachelor's degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics or related quantitative field; Master's Degree preferred

Footer
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
Mountain View $202,500 - $274,000
San Diego, CA $188,500- $255,000

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