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Java Quant Developer Jobs in Fort Lee, NJ (NOW HIRING)

Talan

Lead Java Developer - Market Data

New York, NY · On-site

$155K - $185K/yr

We are seeking a VP-level Senior Java Developer / Technical Lead to join a Market Data and Trading ... Partner with traders, quantitative analysts, product teams, and other technology stakeholders.

Talan

Lead Java Developer - Market Data

New York, NY · Hybrid

$155K - $185K/yr

We are seeking a VP-level Senior Java Developer / Technical Lead to join a Market Data and Trading ... Partner with traders, quantitative analysts, product teams, and other technology stakeholders.

Talan Group

Java Backend Developer

Manhattan, NY · On-site

$100 - $130/hr

Bachelor degree in Computer science, Engineering, Finance or Quantitative finance. * 5+ years of Java development experience. * Strong expertise with Java 21. * Experience developing backend services ...

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Apex Systems

Java Developer

Jersey City, NJ · On-site

$86.79 - $93.68/hr

A Bachelor's or Master's degree in Computer Science, Engineering, or any quantitative discipline is required.**Technical Skills:*** Core Java, including multi-threading, collections API, and JDBC.

Talan

Senior Java Developer

New York, NY · On-site

$130K - $150K/yr

We are looking for a Senior Java Developer to join a Team of 7 developers in a leading financial ... Bachelor degree in Computer science, Engineering, Finance or Quantitative finance Nice to Have

Talan

Senior Java Developer

New York, NY · Hybrid

$130K - $150K/yr

We are looking for a Senior Java Developer to join a Team of 7 developers in a leading financial ... Bachelor degree in Computer science, Engineering, Finance or Quantitative finance Nice to Have

Talan

Senior Java Developer

New York, NY · Hybrid

$120K - $160K/yr

Bachelor degree in Computer science, Engineering, Finance or Quantitative finance * 8+ years of hands-on Java development experience. * 5+ years of Spring / Spring Boot experience. * Strong knowledge ...

Apex Systems

Java Developer

Jersey City, NJ · On-site

$53.25 - $69/hr

A Bachelor's or Master's degree in Computer Science, Engineering, or any quantitative discipline is required. Technical Skills: * Core Java, including multi-threading, collections API, and JDBC.

Lakarya LLC

KDB Developer

Manhattan, NY · On-site

We are hiring for " KDB Developer" - New York, NY. Please let us know if you are interested. Job ... Quant Trading teams. Based in New York , you''ll primarily develop in KDB/Q with some Java ...

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All JobsJava Quant Developer JobsJava Quant Developer Jobs in Fort Lee, NJ

Java Quant Developer information

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How much do java quant developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for java quant developer in Fort Lee, NJ is $59.18, according to ZipRecruiter salary data. Most workers in this role earn between $51.20 and $66.25 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 Fort Lee, NJ?

For Java Quant Developer jobs in Fort Lee, NJ, the most frequently searched job titles are:

What cities near Fort Lee, NJ are hiring for Java Quant Developer jobs?

Cities near Fort Lee, NJ with the most Java Quant Developer job openings:

Java Quant Developer jobs near you

Global Banking & Markets-New York-Associate, Quantitative Engineering-10452362

Goldman Sachs

New York, NY • On-site

$150K - $189K/yr

Full-time

Posted 8 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

47th of 171 rated banks

Job description

Job Duties: Associate, Quantitative Engineering with Goldman Sachs & Co. LLC in New York, New York. Develop, implement, and document scenarios comprised of a broad range of economic and financial variables for businesses within the Firm.  Collaborate with internal stakeholders, analyzing user needs from a scenario design perspective and addressing data, model, and implementation issues. Analyze large data sets (structured and unstructured) to build predictive models of business-relevant market variables. Develop, refine, and improve scenarios by leveraging knowledge in financial markets, economics, current events, statistical analysis, and programming. Build and challenge risk models, identify and quantify vulnerabilities across market, credit, liquidity risk and modeling. Create and maintain clear and complete technical documentation of the risk-model performance testing approach and process.

Job Requirements: Master's degree (U.S. or foreign equivalent) in Financial Engineering, Financial Economics, Applied Mathematics, Data Science, Operations Research, or a related field and one (1) year of experience in job offered or a related quantitative engineering role OR Bachelor's degree (U.S. or foreign equivalent) in Financial Engineering, Financial Economics, Applied Mathematics, Data Science, Operations Research, or a related field and two (2) years of experience in job offered or a related quantitative engineering role. Prior experience must include one (1) year of experience (with a Master's degree) OR two (2) years of experience (with a Bachelor's degree) with 5 of the 7 following skills: C++, Java, or Python; developing probability and pricing models utilizing financial mathematics principles, including stochastic calculus, no-arbitrage pricing theory, partial differential equations, multivariable calculus, linear algebra, numerical methods, optimization, probability, or random processes; quantitative analysis and model development using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms; performing risk management or scenario-based analysis; developing quantitative risk analytics, including factor models; developing rigorous and scalable data management and analysis tools to provide risk oversight and support the investment process; statistics and data driven performance analysis, including Linear Regression or Time Series Analysis to measure performance.

Salary Range: Annual base salary for this New York, New York-based position is $150,000 - $189,000.

The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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