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

Apple

Software Data Engineer, App Store

San Francisco, CA · On-site

$134K - $162K/yr

... skills in Scala or Java or Python and proficiency in SQLHands-on experience in big data ... a Quantitative discipline (e.g., Statistics, Economics, Mathematics). Exposure to privacy ...

Comtech, LLC

Data Engineer

San Jose, CA

$134K - $161K/yr

Big Data experience * 8+ years exp in Java, Python and Scala * With Spark and Machine Learning ... Extract data from a variety of relational databases, manipulate, explore data using quantitative ...

Quantifind

Data Scientist

Palo Alto, CA · On-site

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.

Quantifind

Data Scientist

Palo Alto, CA · On-site

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.

Geico

Staff Engineer, Software Engineering

Palo Alto, CA · On-site

$100K - $230K/yr

Experience solving analytical problems with quantitative approaches * Ability to excel in a fast ... Knowledge of developer tooling across the software development life cycle (task management, source ...

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Java Quant Developer information

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$17

$65

$88

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
Software Data Engineer, App Store

Software Data Engineer, App Store

Apple

San Francisco, CA • On-site

$134K - $162K/yr

Full-time

Posted 13 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Apple's App Store is the world's largest and most innovative app marketplace, home to over 1.5 million apps and serving more than half a billion customers every week across all Apple devices. Since the App Store launched in 2008, it has changed how we all live: enabling countless new companies, spawning new industries, and building millions of jobs. We believe we are just getting started...Do you have a strong passion for using data to drive business decisions, generate ideas, and inspire collaborators? As a Software Data Engineer on the App Store Data team, you will play an integral role in helping App Store improve the experience for users and developers every day, through analysis grounded in privacy. We build the solutions, services, and analytics that power data-driven innovation for internal stakeholders and external partners. In a world where apps have become essential to daily life, the App Store team has become essential to Apple's business.
As a member of the App Store Data team, you will play a key role in shaping our strategic direction and driving high-impact initiatives. The data we produce informs Apple Leadership and partners, helping guide decisions on innovation and emerging opportunities. Success in this role requires a strong commitment to building world-class analytical solutions.You will build the design and delivery of compliance-critical data products, including pipelines and analytical outputs that meet regulatory and privacy requirements. This role also encompasses analytics engineering, exploratory data analysis, ML-driven data observability and developing scalable self-service data products.
3+ years of experience building production data pipelines on distributed systems Solid programming skills in Scala or Java or Python and proficiency in SQLHands-on experience in big data technologies, such as: Hadoop, Spark/Flink, Kafka, Airflow, Iceberg, Trino and KubernetesWorking knowledge of data modeling fundamentals, structured and unstructured data analysis, predictive modeling techniques to identify patterns, translating domain requirements into engineering specificationsActive use of AI coding assistant, actively learning LLM-augmented workflowsExcellent communication; proven success partnering with cross-functional stakeholders (Product, Engineering, Legal, Privacy etc.)Bachelor's Degree in Computer Science, Engineering or a Quantitative discipline (e.g., Statistics, Economics, Mathematics).
Exposure to privacy, compliance, or governance data requirements in a pipeline or analytics contextExposure to ML or statistical anomaly detection, even in a learning or project contextExperience in writing and maintaining high-quality code using standard methodologies such as code reviews, unit testing, and continuous integration.

What Apple employees say

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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