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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 ...

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 ...

Citi

Mortgage Quantitative Analyst, VP

New York, NY · On-site

$175K - $250K/yr

Mentor, guide, and manage junior quants on the team, fostering their technical and professional growth. Ideal Candidate: 4-6 years of experience developing prepayment and default models for pricing ...

Anson McCade

Junior Trader

Manhattan, NY · On-site

$250K/yr

This opportunity is ideal for a highly adaptable Junior Quant/Trader looking to gain exposure across multiple areas of systematic trading. Working directly alongside senior leadership, you will ...

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How much do junior quantitative jobs pay per hour?

As of Sep 9, 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 is a junior quantitative?

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.

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 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 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.

Is a junior quantitative an entry level job?

A junior quantitative role is typically considered an entry-level position in finance or data analysis, often requiring a bachelor's degree in a related field and some programming or statistical skills. It is designed for candidates with limited professional experience and provides training to develop technical expertise in quantitative methods.

What is the salary of a junior quantitative researcher?

The salary of a junior quantitative researcher typically ranges from $60,000 to $90,000 annually, depending on the location, industry, and level of experience. Entry-level roles often require proficiency in programming languages like Python or R and strong analytical skills.
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Junior Quantitative jobs near you
Infographic showing various Junior Quantitative job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 83% Full Time, 14% Part Time, and 1% Contract. Highlights an 72% Physical, 5% Hybrid, and 23% Remote job distribution, with an average salary of $56,068 per year, or $27 per hour.

Analyst, Junior Quantitative Investment Engineer

Boston, MA • On-site

HarbourVest Partners, LLC
Investment Clubs and Venture Capital Companies • 201 - 500 employees
Learn more about HarbourVest Partners, LLCexternal

$95K - $105K/yr

Full-time

Medical, Retirement, PTO

Re-posted 17 days ago

Job description

Job Description Summary
For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners. As our global firm grows, we continue to add individuals who seek a collaborative, open-door culture that values diversity and innovative thinking.
In our collegial environment that's marked by low turnover and high energy, you'll be inspired to grow and thrive. Here, you will be encouraged to build on your strengths and acquire new skills and experiences.
We are committed to fostering an environment of inclusion that promotes mutual respect among all employees. Understanding and valuing these differences optimizes the potential of both the individual and the firm.
HarbourVest is an equal opportunity employer.
This position will be a hybrid work arrangement. You will receive 18 remote workdays per quarter to use at your discretion, subject to manager approval. For example, you may choose to work in the office 4 days per week and take one remote day weekly (typically 13 weeks per quarter), leaving 5 additional remote days to be used as needed.
We are looking for a Junior Quantitative Investment Engineer who has a passion for data, technology, automation, and an understanding of finance to join our Quantitative Investment Science (QIS) team. As a member of the team, you will play a key role in developing applications, and expanding our dataset by collecting clarifying, and translating business requirements into development specifications, conceptual designs, and working prototypes. You will work closely with engineers, researchers, QA, investment professionals, vendors, and IT teams to advance complete end-to end-solutions within our cloud-based data analytics platform, a strategic asset that drives data-driven research to enhance investment decision-making within private markets. You should thrive in an evolving, fast-paced environment, and bring a work style marked by high energy, flexibility, integrity, quick learning, and collaboration. This is a great opportunity to be a part of an industry leading Quant Investment team that is building a one-of-a-kind platform in private markets.
The ideal candidate is someone who:
  • Is curious and willing to keep asking "why?", continually learning about key business processes to help identify potential improvements.
  • Has strong analytical and problem solving skills, the skill to dissect and detail complicated situations and propose creative process & technical solutions.
  • Possesses excellent facilitation, interpersonal skills, and can communicate optimally at all levels, in all forms, and to all functional groups.
  • Can facilitate multiple intricate projects at a given time.
  • Understands how to elicit and document requirements and issues into appropriate contexts.
  • Has experience with investment data management especially IBOR or other book of records systems.
  • Is familiar and experienced with agile software development methodologies and tools.

What you will do:
  • Capture business requirements, translating them into an easy to implement technical solutions, integrations, system designs, tests, transformations, and reports.
  • Build solid working relationships with investment teams, platform users, developers, vendors and suppliers.
  • Create and update project artifacts such as task boards, use cases, application documentation, release notes, and technical writeups.
  • Identify, document, and facilitate the onboarding of new data sets.
  • Develop quick functional prototypes, identify manual and automated tests on data and functionality using SQL, Python and other relevant technologies.
  • Work with internal data sources and external vendors to understand and remedy data exceptions and irregularities.
  • And other responsibilities as required

What you bring:
  • High energy and collaborative work style
  • Flexibility and willingness to tackle a broad range of analysis, testing, and support assignments
  • Proficient in SQL and data analysis skills, to support system design and testing
  • Data modeling and design understanding, including conceptual and logical modeling
  • Experience in onboarding new, large datasets, with structured and unstructured data while validating quality
  • Proficient in Python, to support quick prototypes
  • A track record of completed high-intensity, high-complexity projects
  • Experience with business intelligence tools such as Tableau, Power BI, or equivalent
  • Understanding of DevOps, CI/CD practices, and tools

Education Preferred
  • Bachelor of Arts (B.A) degree or equivalent experience
  • Bachelor of Science (B.S) credential or equivalent experience

Experience
  • 1-3 Years of business analyst experience in the investment management or FinTech industry preferred

#LI-Hybrid
Base Salary Range
$95,000.00 - $105,000.00
This USD base salary range represents only one component of total compensation for this role and is provided in accordance with local requirements. This role is eligible for a discretionary annual bonus, which is determined based on individual and overall firm performance. In addition to salary and bonus, total compensation may include eligibility for long-term reward programs and a comprehensive total rewards package that may include retirement, health, insurance, paid time off, and wellness programs. Our total rewards offerings are influenced by several business factors, and eligibility for certain components will vary by position and geography. Please note the posted ranges do not apply outside the U.S. and should not be converted to other currencies as a proxy for compensation in other countries.

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