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Quantitative Modeling Jobs (NOW HIRING)

$130K - $150K/yr

Ensure models are efficient, transparent, and suitable for deployment in production environments. * Analyze Business Metrics & Identify Opportunities: Rigorously analyze operational and financial ...

$130K - $150K/yr

Ensure models are efficient, transparent, and suitable for deployment in production environments. * Analyze Business Metrics & Identify Opportunities: Rigorously analyze operational and financial ...

The role involves developing predictive models and analytical solutions to support data-driven ... quantitative modeling techniques. Qualifications : Required : • Bachelor's or Master's degree in ...

Quantitative Systems Manager

New York, NY · On-site

$223K - $225K/yr

Quantitative Systems Manager DV Group, LLC New York, New York Offered Salary: $223,642.00 - $225 ... Develop and maintain sophisticated commodity pricing models for futures and options including ...

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Quantitative Modeling information

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$98K

$169.7K

$259.5K

How much do quantitative modeling jobs pay per year?

As of Jul 12, 2026, the average yearly pay for quantitative modeling in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What is a quantitative modeler?

A quantitative modeler is a professional who develops mathematical and statistical models to analyze financial data, assess risk, and support decision-making in finance or related fields. They often use programming languages like Python or R and have strong skills in mathematics, statistics, and data analysis. These models help organizations optimize strategies and manage uncertainties effectively.

What jobs pay 500,000 a year in the US?

In quantitative modeling, senior roles such as quantitative analysts, quantitative traders, and hedge fund managers can earn $500,000 or more annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, strong programming skills, and experience in financial markets or risk management.

What are typical daily tasks and projects for someone in a Quantitative Modeling role?

In a Quantitative Modeling position, your daily activities usually include analyzing large datasets, building and validating predictive models, and developing algorithms to solve business or financial problems. You might spend time coding, running simulations, and interpreting model outputs to inform strategy or risk assessment. Collaboration is common—you'll often work with data scientists, business analysts, or subject matter experts to refine models and ensure they're aligned with organizational goals. The work is intellectually stimulating and fast-paced, with opportunities to see your analytical insights directly impact decision-making.

What job makes $1,000,000 a year?

In quantitative modeling, high-level roles such as senior quantitative analysts, hedge fund managers, or chief investment officers can earn $1,000,000 or more annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, strong analytical skills, and experience in finance, data analysis, or risk management.

What is the highest paid modeling job?

In quantitative modeling, senior roles such as Quantitative Research Director or Head of Quantitative Strategies tend to have the highest salaries, often exceeding $200,000 annually, especially in major financial centers. These positions require advanced skills in mathematics, programming, and financial theory, and may include bonuses and profit-sharing components.

What is a Quantitative Modeling job?

A Quantitative Modeling job involves using mathematical, statistical, and computational techniques to analyze data and construct models that help businesses make informed decisions. Professionals in this field work in finance, risk management, economics, and other industries to develop predictive models, optimize strategies, and assess uncertainties. They often use programming languages like Python, R, or MATLAB, along with machine learning and statistical methods, to solve complex problems.

What are the key skills and qualifications needed to thrive in the Quantitative Modeling position, and why are they important?

To excel in Quantitative Modeling, a strong foundation in mathematics, statistics, and data analysis is essential, often complemented by a degree in a quantitative field such as mathematics, finance, engineering, or physics. Proficiency in programming languages like Python, R, MATLAB, or statistical software, as well as familiarity with data visualization tools and financial modeling certifications (such as CFA or FRM), is highly valued. Effective quantitative modelers possess strong problem-solving abilities, attention to detail, and the ability to communicate complex findings clearly to both technical and non-technical stakeholders. These skills enable accurate, data-driven decision-making and the creation of robust predictive models in business, finance, or technology sectors.

More about Quantitative Modeling jobs
What cities are hiring for Quantitative Modeling jobs? Cities with the most Quantitative Modeling job openings:
What are the most commonly searched types of Quantitative Modeling jobs? The most popular types of Quantitative Modeling jobs are:
What states have the most Quantitative Modeling jobs? States with the most job openings for Quantitative Modeling jobs include:
Infographic showing various Quantitative Modeling job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.
Quantitative Researcher, Evergreen Portfolio Management (Boston or Toronto)

Quantitative Researcher, Evergreen Portfolio Management (Boston or Toronto)

HarbourVest

Boston, MA • Hybrid

$210K - $280K/yr

Full-time

Medical, Retirement, PTO

Re-posted 3 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.

As a member of the Quantitative Investment Sciences (QIS) team, this quantitative researcher will work with a team of experienced researchers to develop quantitative modeling and analysis for management of private equity evergreen portfolios. This motivated individual will be dedicated to supporting and collaborating with HarbourVest's Evergreen fund team on pipeline monitoring, liquidity management, portfolio construction, and stress testing while generating quantitative insights for client engagements and fundraising. Projects will involve leveraging large proprietary private market datasets and statistical models to systematize and enhance portfolio management decision making for these sophisticated fund structures.

This is an opportunity to join a highly diverse and growing team passionate about pioneering the application of quantitative research, ML/AI and data science to private markets investing and risk management.

The ideal candidate is someone with:
  • Passion for financial markets and investing, quantitative research with complex datasets, and demonstrated intellectual curiosity.
  • Innovative and entrepreneurial attitude. Comfortable taking initiative.
  • Excels at clearly and effectively communicating quantitative insights.
  • Strives in a collegial and collaborative team-oriented environment.
  • Results and detail oriented.
  • Willing to work in a position with uneven and high priority project work.
What you will do:

Conducting quantitative modeling and analysis to support management of evergreen private equity portfolios (80%)

  • You will play a lead role in leveraging proprietary private markets datasets and models to characterize market risk/return relationships, explore liquidity and market stress events, and develop strategies to optimize liquidity management and fund performance.
  • Accountable for communicating analysis results and actionable insights to the Evergreen fund team.
  • Support and drive adoption and integration of quantitative models to enhance portfolio construction and management processes.

Responding to ad-hoc quantitative analysis requests (20%)

  • Supporting client facing teams in conducting ad-hoc analysis and responding to client requests.
What you bring:
  • Experience in the financial services industry in a quantitative role is required; however, prior private markets experience is not required.
  • Demonstrate rigorous statistical analysis and experience analyzing large datasets.
  • Strong Python programming skills (including numerical, statistical modeling and visualization libraries) with SQL experience is required.
  • Prior experience in Monte-Carlo simulation methods is preferred
  • Ability to learn and enhance an existing code base is required
  • Prefer prior independent research experience in academia or industry
Education:
  • Bachelor of Arts (B.A) or Bachelor of Science (B.S.) required
  • Prefer master's degree or Ph.D. in a technical field
Experience:
  • 3+ years of experience in a quantitative finance role

#LI-Hybrid

Base Salary Range

$210,000.00 - $280,000.00

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.