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Junior Quantitative Jobs (NOW HIRING)

Point72

Quantitative Software Developer

New York, NY · On-site

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 ...

Bayview Asset Management

Quant Developer

Manhattan, NY · On-site

$90K - $110K/yr

Bayview Asset Management, LLC is looking for a junior Quantitative Developer with strong technical skills in quantitative analysis, programming, and databases with 0-3 years' experience. The ...

Bayview Asset Management

Quant Developer

Manhattan, NY · On-site

$90K - $110K/yr

Bayview Asset Management, LLC is looking for a junior Quantitative Developer with strong technical skills in quantitative analysis, programming, and databases with 0-3 years' experience. The ...

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How much do junior quantitative jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for junior quantitative in the United States is $26.96, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $33.17 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Junior Quantitative Analyst, and why are they important?

To thrive as a Junior Quantitative Analyst, you need strong analytical skills, a solid background in mathematics or statistics, and at least a bachelor's degree in a quantitative field such as mathematics, statistics, finance, or engineering. Familiarity with programming languages like Python, R, or MATLAB, as well as proficiency in Excel and experience with data analysis tools, is typically required. Attention to detail, problem-solving abilities, and effective communication skills help you translate complex analyses into actionable insights. These skills and qualifications are crucial for building accurate financial models, supporting decision-making, and contributing meaningfully to data-driven teams.

What is the difference between Junior Quantitative vs Quantitative Analyst?

AspectJunior QuantitativeQuantitative Analyst
Required CredentialsBachelor's degree in math, finance, or related field; some internshipsBachelor's or master's degree; often more experience or certifications
Work EnvironmentEntry-level, supportive team, learning-focusedMore independent, project-driven, higher responsibility
Employer & Industry UsageFinancial firms, hedge funds, banksFinancial institutions, asset management, hedge funds

The main difference between Junior Quantitative and Quantitative Analyst roles lies in experience and responsibility. Junior Quantitative positions are entry-level, focusing on learning and supporting senior staff, while Quantitative Analysts handle more complex analysis and decision-making. Both roles are common in finance and share similar educational backgrounds, but the level of experience and independence distinguishes them.

What are some common challenges faced by Junior Quantitative Analysts in their first year, and how can they overcome them?

Junior Quantitative Analysts often encounter challenges such as adapting to the fast-paced environment, bridging the gap between academic theory and practical application, and mastering company-specific tools and large datasets. Building strong communication with senior team members and proactively seeking feedback can help overcome these hurdles. Additionally, dedicating time to learn the firm's proprietary systems and collaborating closely with cross-functional teams—like traders and software engineers—will accelerate both skill development and confidence in the role.

What are Junior Quantitatives?

Junior Quantitatives, often called 'junior quants,' are entry-level professionals who use mathematical, statistical, and computational methods to analyze financial data and develop models for trading, risk management, or investment strategies. They typically work under the supervision of senior quants in financial institutions, such as investment banks, hedge funds, or asset management firms. Their responsibilities often include data analysis, model development, programming, and assisting in the implementation of quantitative strategies. Junior quants usually have strong backgrounds in mathematics, statistics, finance, or computer science. This role is a starting point for building a career in quantitative finance.
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Junior Quantitative jobs near you
Infographic showing various Junior Quantitative job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, 6% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $56,068 per year, or $27 per hour.
Quantitative Software Developer

Quantitative Software Developer

Point72

New York, NY • On-site

Other

Posted 12 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.

Apply