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Junior Quantitative Developer Jobs in Boston, MA

Man Group

Senior Quantitative Developer

Boston, MA · Hybrid

The Role As a Senior Quantitative Developer in the Front-office Engineering organization at Man ... Experience mentoring junior team members and managing projects * Experience building web ...

STR

Lead Software Engineer

Woburn, MA · On-site

... and networking, while mentoring junior engineers and leading technical discussions ... quantitative analysis • Familiarity with multi-threaded or multi-core real-time operating ...

STR

Lead Software Engineer

Woburn, MA · On-site

... mentor junior engineers • Develop and test novel software solutions spanning research ... quantitative analysis • Familiarity with multi-threaded or multi-core real-time operating ...

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Junior Quantitative Developer information

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$26.1K

$96.7K

$149.4K

How much do junior quantitative developer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for junior quantitative developer in Boston, MA is $96,658.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,800.00 and $94,500.00 per year, depending on experience, location, and employer.

What is a junior quantitative developer?

A Junior Quantitative Developer is responsible for developing, implementing, and maintaining quantitative models and tools used in trading, risk management, or financial analysis. They work closely with quantitative analysts and traders to optimize algorithms, improve performance, and ensure data accuracy. This role typically requires strong programming skills in languages like Python, C++, or Java, along with a solid understanding of mathematics, statistics, and financial markets. Junior Quantitative Developers often contribute to backtesting trading strategies, optimizing execution algorithms, and improving financial models. The position serves as a foundational step for a career in quantitative finance, providing hands-on experience in both development and financial modeling.

What are the typical daily responsibilities of a junior quantitative developer?

As a Junior Quantitative Developer, your daily tasks often include writing and optimizing code to implement quantitative models, analyzing large datasets, and performing model validation or back-testing. You’ll also collaborate closely with senior quants, traders, and software engineers to refine strategies or troubleshoot issues as they arise. Additionally, you may maintain documentation, participate in code reviews, and stay updated with the latest development practices and financial concepts. This role offers a dynamic experience that builds both your technical programming skills and your understanding of financial markets.

What are the key skills and qualifications needed to thrive as a junior quantitative developer?

To thrive as a Junior Quantitative Developer, you need a solid background in mathematics, statistics, and programming—often supported by a relevant degree in fields like computer science, engineering, or quantitative finance. Familiarity with programming languages such as Python, C++, or R, as well as experience using version control systems and exposure to financial data platforms, is highly valuable. Attention to detail, strong analytical thinking, and effective collaboration skills help you excel in dynamic, team-based environments. These capabilities are essential for developing and maintaining quantitative models that support data-driven decision-making in finance or related sectors.

What are the most commonly searched types of Quantitative Developer jobs in Boston, MA?

The most popular types of Quantitative Developer jobs in Boston, MA are:

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For Junior Quantitative Developer jobs in Boston, MA, the most frequently searched job titles are:

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Junior Quantitative Developer jobs near you

Senior Quantitative Developer

Boston, MA • On-site

Quant Blueprint LLC
See more jobs at Quant Blueprint LLCexternal

$100 - $130/hr

Other

Posted 20 days ago

Job description

Role Summary

We are looking for an experienced Quant Developer with Python experience, to join our Research group. We are a collaborative, data-driven, intellectually rigorous team responsible for coming up with investment ideas, codifying those ideas into signals, back-testing the signals, and producing return, risk and trading cost forecasts based on the signals to drive trading decisions. We maintain a friendly, team-oriented environment and place a high value on professionalism, attitude and initiative. Our development team within Research is responsible for the tools, APIs, libraries and software engineering techniques to support faster generation, evaluation and productionization of investment ideas. As a Quantitative Developer, you will help build our next-generation Research data platform leveraging open-source, cloud and distributed computing technologies. You will work on high-impact projects that are quickly adopted and drive change across the team.

Responsibilities
  • Writing and maintaining Python libraries that supports the investment research production processes
  • Designing and creating software to enhance our data science technology stack
  • Design and implement financial data APIs and numerical APIs
  • Apply cloud and distributed computing technologies
  • Implementing performance improvements in our data analysis and numerical programming code
  • Running POCs to evaluate new technologies and libraries in the PyData ecosystem
  • Working with software engineers to design feeds for new data sources from third-party vendors
  • Propose and lead implementations of major components or features in our data science platform
  • Mentor, train and provide technical guidance to junior team members in design and coding standards
  • Other projects based on experience and interest
Qualifications
  • An undergraduate or graduate degree from an educational institution in computer science
  • Strong analytical and problem solving skills
  • Expert programming skills in Python, experience implementing production-grade Python code
  • Experience in OOP paradigms, data structures, and numerical algorithms
  • Data storage: RDBMS, S3, columnar databases, NOSQL databases
  • Distributed computing: Spark, Dask, or HPC
  • Understanding/interest in probability and statistics, including linear regression and time-series analysis
  • Curiosity and a willingness to learn new technologies
  • Interest in financial markets (prior experience not required)
  • Excellent communication skills
  • High energy and strong work ethic
Desirable experience
  • Hadoop, Spark, Kafka, and related technologies
  • Unix/Linux system tools and environment
  • Basic familiarity with unit testing, continuous integration, DevOps, containerization
  • Interactive data visualization and dashboards

We maintain a friendly, team-oriented environment and place a high value on professionalism, attitude and initiative.

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