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Junior Quant Developer Jobs (NOW HIRING)

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 ...

The candidate must be very comfortable programming in C++ and python * An emerging markets fixed ... Mentor more junior members of the team * Provide quantitative support and expertise to portfolio ...

The candidate must be very comfortable programming in C++ and python * An emerging markets fixed ... Mentor more junior members of the team * Provide quantitative support and expertise to portfolio ...

... quant researchers and engineers to develop new models using our proprietary datasets • Manage real-time risk across a diversified portfolio of options positions Qualifications and skills: • ...

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Junior Quant Developer information

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$61K

$106.8K

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How much do junior quant developer jobs pay per year?

As of May 29, 2026, the average yearly pay for junior quant developer in the United States is $106,825.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $106,500.00 per year, depending on experience, location, and employer.

What is a Junior Quant Developer job?

A Junior Quant Developer is an entry-level role that combines software development with quantitative analysis in the finance industry. They assist in building and maintaining financial models, trading algorithms, and risk management tools. Typically, they work with programming languages like Python, C++, or Java and utilize mathematical and statistical techniques. Their responsibilities often involve data analysis, backtesting strategies, and optimizing trading systems. This role serves as a stepping stone toward becoming a full-fledged Quant Developer or Quantitative Analyst.

What are the key skills and qualifications needed to thrive in the Junior Quant Developer position, and why are they important?

To thrive as a Junior Quant Developer, you need strong programming skills (usually in Python, C++, or Java), foundational knowledge in mathematics and statistics, and a relevant degree in fields like computer science, mathematics, or engineering. Familiarity with quantitative libraries, financial modeling tools, and version control systems such as Git is often expected. Analytical thinking, teamwork, and effective communication are important soft skills for collaborating with senior developers and traders. These skills are essential for building robust quantitative models, contributing to complex projects, and growing within a fast-paced financial technology environment.

What kinds of projects and tasks can a Junior Quant Developer expect to work on?

As a Junior Quant Developer, you can expect to assist with developing, testing, and optimizing quantitative models used for trading or risk assessment. Your day-to-day tasks may involve coding algorithms, analyzing large datasets, backtesting strategies, and debugging model performance, all under the guidance of more experienced team members. You’ll also have opportunities to work closely with traders, data scientists, and senior quants, contributing to both research initiatives and real-time trading systems. This collaborative environment provides excellent learning opportunities and valuable exposure to different aspects of quantitative finance, helping you build expertise for career growth.
What cities are hiring for Junior Quant Developer jobs? Cities with the most Junior Quant Developer job openings:
What are the most commonly searched types of Quant Developer jobs? The most popular types of Quant Developer jobs are:
What states have the most Junior Quant Developer jobs? States with the most job openings for Junior Quant Developer jobs include:
Infographic showing various Junior Quant Developer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $106,825 per year, or $51.4 per hour.

Quantitative Developer (Python) - Central Liquidity Strategies

Millennium Management LLC

New York, NY • On-site

$160K - $250K/yr

Full-time

Posted 23 days ago


Millennium Management rating

7.7

Company rating: 7.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

Quantitative Developer (Python) - Central Liquidity Strategies
The Central Execution Book (CEB) is a global effort to optimize the firm's execution across business lines and asset classes. At a high level the CEB seeks to improve execution quality by reducing market impact and controlling information leakage, but the group's mandate also includes the deployment of the firm's risk capital to do so. The above requires solving complex technical and quantitative problems.
We are looking for a highly driven, results-oriented Senior Quantitative Developer to join a dynamic group tasked with developing our next-generation alpha research pipeline, encompassing data ingestion to model evaluation and reporting. We are at the forefront of industry-leading initiatives applying technology, quantitative analysis, and data-driven methodologies to our execution process.
Principal Responsibilities
The successful candidate will be expected to:
  • Help design and contribute to the alpha research platform
  • Support, maintain, and test their own code following best practices, including unit testing, regression testing, documentation, and automation within typical CI processes
  • Provide leadership and vision to help determine the overall direction, design, and architecture of the alpha research pipeline
  • Mentor junior resources
  • Regularly interact with quantitative researchers and other stakeholders, and prioritize and implement features

Qualifications / Skills Required
  • 5+ years of Python experience in a quantitative finance setting
  • Familiarity with linear models and basic statistics for creating model evaluation and reporting workflows
  • Familiarity with the Python data science ecosystem, including dashboarding and popular ML libraries such as Plotly, Altair, JAX, TensorFlow, and PyTorch
  • Prior experience building alpha research or machine learning pipelines
  • Highly analytical with strong problem-solving skills and attention to detail
  • Strong communication skills, with the ability to explain technical and sophisticated concepts clearly and concisely
  • Ability to tune and debug runtime performance of data applications
  • Familiarity with C++/Rust/CUDA to debug and profile underlying native code in ML libraries (Nice to have)

The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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