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Java Quant Developer Jobs in New Jersey (NOW HIRING)

Databricks

$56 - $72.25/hr

Python, Scala, Java, SQL, or R * Experience supporting Public Sector clients * Have built solutions ... quantitative discipline (Computer Science, Applied Mathematics, Operations Research) * Secret ...

Databricks

$56 - $72.25/hr

Python, Scala, Java, SQL, or R * Experience supporting Public Sector clients * Have built solutions ... quantitative discipline (Computer Science, Applied Mathematics, Operations Research) * Secret ...

AmNet Services, Inc.

$178K - $211K/yr

Perform data analytics and quantitative modeling for devices and wireless networks to improve ... Required Experience: 2+ years' experience with Python, R, Matlab, VBA, Java Scripts. 2+ years ...

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Java Quant Developer information

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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What job categories do people searching Java Quant Developer jobs in New Jersey look for? The top searched job categories for Java Quant Developer jobs in New Jersey are:
What cities in New Jersey are hiring for Java Quant Developer jobs? Cities in New Jersey with the most Java Quant Developer job openings:
Java Quant Developer jobs near you

AI/ML & Analytics Platform Engineering -Full Time - Onsite in Plainsboro Township, NJ

GDR Defense

Plainsboro, NJ • On-site

$110K - $145K/yr

Full-time

Re-posted 22 days ago

Job description

Engineer, AI/ML & Analytics Platform Engineering

Location: Hybrid – Plainsboro Township, NJ
Employment Type: Permanent
Industry: Pharmaceutical / Biotech
Compensation: $110,000 – $145,000 base + STI & LTI
Relocation: Not available

Position Overview

We are seeking an experienced AI/ML & Analytics Platform Engineer to design, build, and scale enterprise-grade platforms that enable Machine Learning Engineers, ML Researchers, Data Scientists, and Data Analysts to develop, deploy, and operationalize advanced analytics solutions.

This role focuses on platform engineering and distributed systems, not purely model development. The ideal candidate will have strong systems engineering expertise and experience building scalable, high-performance infrastructure to support AI/ML workloads.

Key Responsibilities

  • Design and build scalable AI/ML and analytics platforms.

  • Develop infrastructure and tooling to support ML experimentation, training, deployment, and monitoring.

  • Enable self-service capabilities for ML Engineers, Data Scientists, and Analysts.

  • Architect and optimize distributed computing solutions for large-scale data processing.

  • Collaborate cross-functionally with research, engineering, and analytics teams.

  • Ensure performance, reliability, and scalability of ML systems in production environments.

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, Operations Research, or a related quantitative field.

  • 5+ years of experience in software engineering, platform engineering, or related roles.

  • Proven experience building AI/ML or analytics platforms.

  • Strong experience with at least one strongly typed programming language (e.g., C/C++, Java, Go, Rust).

  • Experience working with distributed systems and large-scale data processing frameworks (e.g., Ray, Dask, Spark).

  • Experience supporting ML or analytics workloads in production environments.

Preferred Qualifications

  • Prior experience in the pharmaceutical or biotech industry.

  • Experience with high-performance computing environments (e.g., Slurm).

  • Experience designing and operating large-scale distributed systems.

  • Familiarity with regulated environments and data governance considerations.