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Java Quant Developer Jobs in Massachusetts (NOW HIRING)

Bridge Tech

Data Scientist Opportunity

Boston, MA · On-site

Qualifications REQUIRED SKILLS Outstanding technical abilities with 5+ years of Scala, Java, or C/C ... Engineering, Mathematics or other quantitative fields. Experience with Spark, Kaplan, Breeze, map ...

Manulife

Senior Machine Learning Engineer

Boston, MA

$107K - $199K/yr

... quantitative field * 5+ years of experience delivering machine learning solutions in production * Strong programming skills in Python (Java/SQL a plus) * Hands-on experience with NLP and document ...

XPO

Senior Scientist, Data Science - Hybrid

Boston, MA · On-site

$106K - $132K/yr

Experience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc ... A Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field * years of ...

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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.
What are popular job titles related to Java Quant Developer jobs in Massachusetts? For Java Quant Developer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Java Quant Developer jobs in Massachusetts look for? The top searched job categories for Java Quant Developer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Java Quant Developer jobs? Cities in Massachusetts with the most Java Quant Developer job openings:
Java Quant Developer jobs near you

Data Scientist Opportunity

Bridge Tech

Boston, MA • On-site

Full-time

Re-posted 16 days ago

Job description

Company Description
Job Description
The Data Science team is responsible for managing all data analytics, reporting and algorithmic aspects for our client. The data science team is an integral part of every function in the life cycle of the company to provide product, tools, business support. As a data scientist you will work closely with architects, engineers, account managers and data scientists within and outside the company. You will be involved from pre-sales to support. You will work on next generation algorithms development and help measure, maintain and upgrade current business.
Qualifications
REQUIRED SKILLS
Outstanding technical abilities with 5+ years of Scala, Java, or C/C++ development experience with statistical machine learning models
Rounded business skills with the ability to understand customer business needs
Ability to solve problems practically for clients and internal needs
Excellent interpersonal skills with ability to communicate clearly and concisely with executives, engineers, account managers, sales, business partners and data scientists.
Ability to respond to customer needs and meet deadlines with accurate work while under pressure
Expected to build statistical, optimization and machine learning models followed by detailed pre-production out of sample validation and recommendation for a/b testing experiments with success criteria.
Own complete life cycle from problem formulation to solution deployment and maintenance
Excellent understanding of computer science fundamentals, data structures, and algorithms
Have a strong mathematical background and have experience with modeling complex high dimensional problems
Experience performing petabyte scale data analysis and developing meaningful visualizations
Must be able to collaborate with architects, engineers, and data scientists within and outside the company.
EXPERIENCE
Proven to thrive in start up environments
Experience defining and building web scale algorithms, reports and visualizations
Must be organized, have an eye for detail, and be able to put ideas into a tangible form
Ability to prioritize and manage work to critical project timelines in a fast-paced environment and the ability to develop new approaches to complex design problems
Experience with developing production grade algorithms for the web scale
Preferred - Ph.D. in Computer Science, Operations Research, Physics, Electrical Engineering, Mathematics or other quantitative fields.
Experience with Spark, Kaplan, Breeze, map/reduce models a plus
Experience modeling stochastic processes, Bayesian learning models, utility theory, game theory a plus
Additional Information
All your information will be kept confidential according to EEO guidelines.

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