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Junior Quant Jobs (NOW HIRING)

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

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How much do junior quant jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for junior quant 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 quant?

Junior Quants, short for Junior Quantitative Analysts, are entry-level professionals who use mathematical, statistical, and programming skills to analyze financial data and develop models for tasks such as pricing, risk management, and trading strategies. They typically work in investment banks, hedge funds, or financial technology firms under the guidance of senior quantitative analysts. Their responsibilities may include data analysis, coding algorithms, backtesting trading strategies, and supporting senior team members in research and decision-making. Junior Quants often hold degrees in fields like mathematics, physics, engineering, or computer science and may be familiar with programming languages such as Python, R, or C++.

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

To thrive as a Junior Quant, you need a strong background in mathematics, statistics, programming (often Python, C++, or R), and typically a degree in a quantitative field such as mathematics, physics, computer science, or engineering. Familiarity with financial modeling tools, statistical analysis software, and version control systems like Git is often required. Outstanding analytical thinking, attention to detail, and the ability to work collaboratively in high-pressure environments are crucial soft skills. These skills and qualities enable Junior Quants to deliver accurate models and insights that drive successful trading and risk management decisions.

What are some common challenges faced by junior quants when transitioning from academic work to industry roles?

Junior Quants often find that moving from academic environments to industry roles presents challenges such as adapting to fast-paced deadlines, learning to work within multidisciplinary teams, and applying theoretical models to real-world, often noisy, data. In industry, there's a strong emphasis on producing actionable results and collaborating closely with traders, developers, and other stakeholders. Developing strong communication skills and becoming proficient with industry-standard tools and programming languages are key to overcoming these challenges and excelling in the role.

What is the difference between Junior Quant vs Quant Analyst?

AspectJunior QuantQuant Analyst
Required CredentialsBachelor's degree in Math, Finance, or related field; some internshipsBachelor's or Master's degree; often requires some experience
Work EnvironmentEntry-level, supportive team, learning-focusedMore independent, analytical, and project-driven
Employer & Industry UsageFinancial firms, hedge funds, asset managersFinancial institutions, investment banks, hedge funds

Junior Quants are typically entry-level roles requiring foundational skills and limited experience, focusing on learning and supporting senior staff. Quant Analysts usually have more experience, handling complex models and analysis independently. Both roles are common in finance and investment sectors, but Quant Analysts have greater responsibilities and expertise.

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Infographic showing various Junior Quant job openings in the United States as of August 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $56,068 per year, or $27 per hour.

Analyst, Junior Quantitative Investment Engineer

Harbourvest Partners (U.K.) Limited

Boston, MA โ€ข On-site

$95 - $105/hr

Other

Medical, Retirement, PTO

Posted yesterday

New


Job description

HarbourVest has been a global private markets firm for over forty years, fostering a collaborative culture that values diversity and innovative thinking. We are seeking a Junior Quantitative Investment Engineer to join our Quantitative Investment Science (QIS) team. HarbourVest is an equal opportunity employer.

Hybrid work arrangement: 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.

Job Responsibilities

As a member of the QIS team, you will play a key role in developing applications, expanding our dataset by collecting clarifying data, 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 endโ€‘toโ€‘end solutions within our cloudโ€‘based data analytics platform.

  • Capture business requirements, translating them into easyโ€‘toโ€‘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 writeโ€‘ups.
  • 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.
  • Other responsibilities as required.
Candidate Profile

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 highโ€‘intensity, highโ€‘complexity projects.
  • Experience with business intelligence tools such as Tableau, Power BI, or equivalent.
  • Understanding of DevOps, CI/CD practices, and tools.
Preferred Education and Experience
  • Bachelor of Arts (B.A.) or Bachelor of Science (B.S.) degree or equivalent experience.
  • 1โ€“3 years of business analyst experience in the investment management or FinTech industry preferred.
Compensation & Benefits
  • Base salary range: $95,000.00 โ€“ $105,000.00 USD.
  • Eligible for a discretionary annual bonus based on individual and firm performance.
  • May qualify for longโ€‘term reward programs and a comprehensive total rewards package that may include retirement, health, insurance, paid time off, and wellness programs.
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