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Junior Quantitative Developer Jobs (NOW HIRING)

Point72

Quantitative Software Developer

New York, NY

Cubist's data services group is looking for a junior Quantitative Software Developer to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data ...

Franklintempleton

Junior Quant Developer

New York, NY · Hybrid

$105K - $120K/yr

... quantitative investment firm that builds disciplined, transparent investment solutions for ... Work directly with senior developers and research group to integrate and optimize research data ...

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How much do junior quantitative developer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for junior quantitative developer in the United States is $88,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $87,000.00 per year, depending on experience, location, and employer.

What is a Junior Quantitative Developer job?

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 typical daily responsibilities for 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 in the Junior Quantitative Developer position, and why are they important?

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.

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Junior Quantitative Developer jobs near you
Quantitative Software Developer

Quantitative Software Developer

Point72

New York, NY

Other

Posted 13 days ago

Job description

Role/Responsibilities: 

We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.

Cubist's data services group is looking for a junior Quantitative Software Developer to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.

This exceptional individual will be a member of a small team of data and software developers who play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. 

Responsibilities include:

  • Building processes and technology tools to ingest, tag and clean datasets.
  • Assisting Data Scientists with data processing, enrichment, and product development.
  • Contributing to existing infrastructure and applications primarily written in Python, but also Go and C++.
  • Monitoring and enhancing the automated data collection and cleansing infrastructure.
  • Researching new technologies for improved data management and efficient retrieval.

Requirements:

  • B.S. or higher in computer science, engineering or a relevant quantitative field such as Mathematics, Statistics, Physics.
  • Proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals
  • Proficiency with Go and/or C++ is not required but is a big plus
  • Hands-on experience with software architecture and engineering best practices (testing, CI/CD, monitoring, profiling, version control)
  • Strong problem-solving skills, ability to analyze and solve intricate problems, optimize code, and develop efficient solutions in a fast-paced environment.
  • Intellectual curiosity and a love of learning.
  • Strong oral and written communication skills.
  • Commitment to the highest ethical standards.

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