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Java Quant Developer Jobs in Oakland, CA (NOW HIRING)

Staffwing Inc

Lead Data Scientist

San Jose, CA

Collaborate with the engineering and product teams to develop and support our internal data ... Highly effective communicator; able to communicate complex quantitative analysis in a clear ...

Staffwing Inc

Lead Data Scientist

San Jose, CA · On-site

Collaborate with the engineering and product teams to develop and support our internal data ... Highly effective communicator; able to communicate complex quantitative analysis in a clear ...

Geico

Senior Staff Engineer

Palo Alto, CA

$130K - $260K/yr

... quantitative approaches Ability to excel in a fast-paced, startup-like environment Knowledge of ... developer tooling across the software development life cycle (task management, source code ...

Brilent

Data Scientist Intern

San Mateo, CA · On-site

As a data scientist intern, you will work alongside our small team of data scientists and engineers ... Experience with scripting languages such as Java and Python * Excellent problem-solving and ...

GEICO

Senior Staff Engineer

Palo Alto, CA · On-site

$130K - $260K/yr

... quantitative approaches • Ability to excel in a fast-paced, startup-like environment • ... developer tooling across the software development life cycle (task management, source code ...

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All JobsJava Quant Developer JobsJava Quant Developer Jobs in Oakland, CA

Java Quant Developer information

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How much do java quant developer jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for java quant developer in Oakland, CA is $65.12, according to ZipRecruiter salary data. Most workers in this role earn between $56.30 and $72.88 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

Lead Data Scientist

Staffwing Inc

San Jose, CA

Full-time

Posted 13 days ago

Job description

Company Description

One of our direct client, a BigData & Data Science major is looking for a Lead Data Scientist to join their team of Data Scientists. This is a permanent position with client.

Job Description

Responsibilities: 

Work on small and large data sets of structured, semi-structured, and unstructured data to discover hidden knowledge about the client's business and develop methods to leverage that knowledge for their business.

Identify and solve business challenges working closely with cross-functional teams, such as Delivery, Business Consulting, Engineering and Product Management.

Develop prescriptive and predictive statistical, behavioral or other models via machine learning and/or traditional statistical modeling techniques, and understand which type of model applies best in a given business situation.

Drive the collection of new data and the refinement of existing data sources.

Analyze and interpret the results of product experiments.

Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing statistical analyses.

Qualifications
  • A proven passion for generating insights from data.
  • Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
  • Expertise in mathematics and applied statistics, computer science, and visualization capabilities.
  • Curious and an excellent learner. Able to research, explore and acquire working knowledge in new areas.
  • A complete understanding of standard statistical techniques like MLE/QMLE, GMM, OLS/GLS, univariate and multivariate time series models (e.g. ARIMA, DLM's, VAR's), regression model diagnostics for time series and cross sectional data, along with Machine Learning methodologies like Random Forests, SVM's and Boosting/Bagging. The ideal candidate would know when and how to apply these alternative methodologies, and the relative advantages/disadvantages of each for a particular business case.  
  • Expert knowledge of an analysis tool/statistical package such as R, JMP, Stata, SPSS, SAS, Matlab
  • Highly effective communicator; able to communicate complex quantitative analysis in a clear, precise & actionable way that is meaningful to general business audience and credible to client's data scientists.
  • Fluency with at least one scripting language such as Python, Java, or C/C++.
  • Expertise with relational databases and SQL. NoSQL is a big plus.

REQUIREMENTS: 

  • MS or Ph.D. preferred in a quantitative Social Science (e.g. Economics) or Statistics with a substantive field interest.
  • At least 5 years' experience in business, consulting or applied field research with project lead responsibilities for solving analytics problems using quantitative approaches.
  • Demonstrated track record producing models and actionable insights using advanced statistical methods.
  • Experience working with large data sets using distributed computing tools, e.g. Map/Reduce, Hadoop, Hive, etc.
Additional Information

All your information will be kept confidential according to EEO guidelines.

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