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Java Quant Developer Jobs in Catonsville, MD (NOW HIRING)

Capital Axis Solutions

Be Seen First

Senior AI Solutions Architect

Linthicum Heights, MD · On-site

$175K - $185K/yr

... quantitative field * Providing design and development of e-government solutions, and taking ... developers on architectural thinking, scalability, and best practices. * Proficient in Python, Java ...

Capital Axis Solutions

Be Seen First

Senior AI Solutions Architect

Linthicum Heights, MD · On-site

$175K - $185K/yr

... quantitative field * Providing design and development of e-government solutions, and taking ... developers on architectural thinking, scalability, and best practices. * Proficient in Python, Java ...

Everwatch

Systems Engineer, Senior

Annapolis Junction, MD · On-site

$106K - $146K/yr

Experience with Java, Spring Boot, API development, OpenAPI/Swagger documentation, and enterprise ... Ability to design and apply quantitative, statistical, and computational methods to complex ...

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All JobsJava Quant Developer JobsJava Quant Developer Jobs in Catonsville, MD

Java Quant Developer information

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$14

$53

$73

How much do java quant developer jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for java quant developer in Catonsville, MD is $53.64, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $60.05 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.
What job categories do people searching Java Quant Developer jobs in Catonsville, MD look for? The top searched job categories for Java Quant Developer jobs in Catonsville, MD are:
What cities near Catonsville, MD are hiring for Java Quant Developer jobs? Cities near Catonsville, MD with the most Java Quant Developer job openings:
Java Quant Developer jobs near you
Data Scientist 2

Data Scientist 2

Altamira Technologies Corp.

Annapolis Junction, MD

Full-time

Posted 11 days ago

Job description

Altamira Technologies has a long and successful history providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data and security. Altamira believes that our people and the culture of our company differentiate us from other companies. Looking for Data Scientists to join our team. In this role you will get to support key activities in defense of emerging threats in the cybersecurity domain. You will work directly with our software engineering and threat analyst teams to model complex data in an environment comprised of many databases and varying technology stacks. 
 
TS/SCI/FS Poly clearance only is required for this position.
  
Qualifications:
  • Must have a bachelor’s degree (BS) in a quotative discipline (e.g. statistics, mathematics, operations research, engineering or computer science) from an accredited college/university.
  • Minimum of five (5) years of experience in two (2) or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software (i.e. R, Python, SAS, MATLAB).
  •  Independently creating mission specific and tailored tradecraft automated solutions; perform data scientist functions that directly align/integrate into the architecture.
  • Implementing best practices in knowledge management, and/or creating automated solutions. Experience with Python, Jupyter Notebooks, ElasticSearch/Kibana, SQL database
  • Develop statistical and graph-based algorithms to analyze and make sense of data sets.
  • Clean and structure disparate data received from a globally dispersed customer base.
  • Provide insight into dataset structures and produce data visualizations that are consumable by both technical an non-technical audiences.
  • Translate mission customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes.
  • Develop and implement statistical and machine learning techniques to create descriptive and predictive analytics.
 
 
Required Skills:
 
  • Must have a Bachelor of Science Degree in quantitative discipline such as statistics, mathematics, or a Computer Science degree. Master’s Degree or Doctoral Degree may be substituted for some experience. 
  • Seven plus (7+) years’ experience in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software (R, Python, SAS, MATLAB). 
  • Experience with Windows server management and Power BI Report Service. 
  • Proficiency with Python/Jupyter Notebooks, SQL and relational databases, ElasticSearch/Kibana/OpenSearch. Experience with Java is also a plus. 
  • Background working with analyst teams including conducting data analysis and creating data visualizations. Experience with graph analytics, data pipelines, and IP-based network data is a plus, but not required. 
  • Experience working within a cybersecurity mission environment using tools and capabilities to generate threat intelligence. This includes working with cybersecurity analyst teams to perform data analysis and a deep understanding of adversary tradecraft. 
  • U.S. Citizenship 
  • Active TS/SCI security clearance with polygraph 
 
Education and Experience:
 
  • Must have a Bachelor of Science Degree in quantitative discipline such as statistics, mathematics, or a Computer Science degree. Master’s Degree or Doctoral Degree may be substituted for some experience. 
  • Seven plus (7+) years’ experience in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software (R, Python, SAS, MATLAB). Â