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Java Quant Developer Jobs in Texas (NOW HIRING)

... Engineering, or a related quantitative field. b. c. d. * Experience: Minimum of 3-5 years of ... Languages: Professional proficiency in Python or Java. * Methodology: Deep familiarity with the ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Work directly with Portfolio Managers and Quantitative Developers to translate business ... Experience with Java recommended. * Experience with on‑premises data infrastructure (e.g., Hadoop)

Have extraordinary analytical and quantitative Modeling skills with a focus on data-driven decision ... Java, Rust, Python, JavaScript/Typescript * Ability to develop strong Unit Test cases using PHPUnit ...

Cloud /Devops Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

... Java, or C++. * Worked alongside architecture and engineering teams to design and implement any ... similar quantitative field. * Good to have Azure Infrastructure services and their limitations ...

Cloud /Devops Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

... Java, or C++. * Worked alongside architecture and engineering teams to design and implement any ... quantitative field. * Good to have Azure Infrastructure services and their limitations

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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.

What job categories do people searching Java Quant Developer jobs in Texas look for?

The top searched job categories for Java Quant Developer jobs in Texas are:

What cities in Texas are hiring for Java Quant Developer jobs?

Cities in Texas with the most Java Quant Developer job openings:

Quantitative Researcher, PhD

Austin, TX • On-site

Teza Technologies
Securities, Commodity Contracts, and Financial Investments • 11 - 50 employees

Other

Medical

Re-posted 3 days ago


Job description

We are looking for exceptional quantitative researchers to develop systematic trading strategies based on market microstructure.

This role is focused on extracting predictive signals from high-frequency market data and turning them into robust, scalable trading models. You will explore large datasets, develop new features, test hypotheses, and work closely with researchers and engineers to deploy ideas into production.

Location

Austin, TX (5 days in-office requirement)

Key Responsibilities
  • Research predictive signals from market microstructure data.
  • Design and evaluate new features using the most granular market data.
  • Develop statistical and machine learning models for systematic trading.
  • Build robust research infrastructure and analytical tools.
  • Work directly with experienced researchers and Portfolio Managers to take ideas from hypothesis to live trading.
Basic Requirements
  • PhD in Mathematics, Statistics, Physics, Computer Science, Electrical Engineering, or a related quantitative discipline.
  • Outstanding mathematical and statistical skills.
  • Strong programming ability in Python and C++/Java.
  • Experience working with quantitative models.
  • Curiosity, creativity, and proven academic track record.
What you’ll get
  • On-site presence of experienced Quantitative Researchers and Portfolio Managers to learn from
  • Build Strategies while becoming the best at what you do
  • Professional guidance from experienced mentors
Benefits
  • Health insurance
  • Flexible sick time policy
  • Office Lunches
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