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Java Quant Developer Jobs in New Jersey (NOW HIRING)

Stradit LLC

Quantitative Analyst - US

Jersey City, NJ · On-site

$120 - $180/hr

... quantitative models, research, with deep understanding in fixed income and/or market risk ... Fluent in at least one high level programming language (Python, C++, Java, etc.). Familiarity with ...

StradIT

Quantitative Analyst - US

Jersey City, NJ · On-site

• 5+ years of working experience and must have 3+ years of hands-on experience in quantitative ... programming language (Python, C++, Java, etc.). Familiarity with SQL is a plus. • Knowledge of ...

Bank of America

Test Developer

Jersey City, NJ · On-site

Spark, R, C, JAVA, YAML, etc. * Python: Strong programming skills using Python and it's packages ... Quantitative Finance or other industries * Strong Programming skills (e.g., Python) and solid ...

Bank of America

Test Developer

Newark, NJ · On-site

Spark, R, C, JAVA, YAML, etc. * Python: Strong programming skills using Python and it's packages ... Quantitative Finance or other industries * Strong Programming skills (e.g., Python) and solid ...

Mindlance

Data Scientist

Franklin Lakes, NJ · On-site

... other quantitative disciplines • Excellent ability to query large datasets using SQL queries and working with databases • Excellent in programming languages such as Java, Python, etc. • ...

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Java Quant Developer information

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.

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Java Quant Developer jobs near you

Quantitative Analyst - US

Stradit LLC

Jersey City, NJ • On-site

$120 - $180/hr

Other

Re-posted 20 days ago

Job description

Qualifications and Responsibilities

5+ years of working experience and must have 3+ years of hands‑on experience in quantitative models, research, with deep understanding in fixed income and/or market risk.

  • Fluent in at least one high level programming language (Python, C++, Java, etc.). Familiarity with SQL is a plus.
  • Knowledge of treasury securities and/or mortgage‑backed securities pricing and VaR modeling a big plus
  • Strong analytical and problem‑solving skills
  • Excellent communication skills, both oral and written
  • Maintain and enhance in‑house fixed income risk models
  • Design and produce model performance metrics and reports to support communications with both internal model users and external supervisors
  • Independently format and validate analysis results to ensure quality
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