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Quantitative Finance Graduate Jobs (NOW HIRING)

IMC

Graduate Quantitative Trader

Chicago, IL · On-site

$250K/yr

IMC is looking for talented and passionate Quant Traders to play a critical role in trading a wide range of financial instruments in a fast-paced, dynamic environment. As a Quant Trader, you will be ...

IMC

Graduate Quantitative Trader

Chicago, IL

$250K/yr

IMC is looking for talented and passionate Quant Traders to play a critical role in trading a wide range of financial instruments in a fast-paced, dynamic environment. As a Quant Trader, you will be ...

IMC

Quantitative Researcher - Options

Chicago, IL

Mentor graduate quantitative researchers Your Skills and Experience: * Ms or PhD in a highly quantitative field * At least 5 years in financial services or a quantitative environment * Experience in ...

IMC

Quantitative Researcher - Options

Chicago, IL · On-site

$250K - $300K/yr

Mentor graduate quantitative researchers Your Skills and Experience: * Ms or PhD in a highly quantitative field * At least 5 years in financial services or a quantitative environment * Experience in ...

IMC

Graduate Quantitative Researcher (PhD)

Chicago, IL · On-site

$250K/yr

As a Quantitative Researcher at IMC, your work will directly impact our global trading strategies ... Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon ...

Open Systems Technologies

Python Developer

Manhattan, NY · On-site

$150K - $250K/yr

Graduate Degree preferred * At least 3 years of experience withPython * Linux / Unix environment ... Familiar with quantitative finance and electronic trading concepts and financial data * Equities ...

Fidelity Investments

Quantitative Analyst

Boston, MA

$100K - $200K/yr

The Team SAI's Quantitative Research analysts work either directly on an asset class or product ... Strong preference for a graduate degree in a related field (Finance, Engineering, Mathematics ...

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Quantitative Finance Graduate information

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$31K

$90.6K

$146K

How much do quantitative finance graduate jobs pay per year?

As of Jul 23, 2026, the average yearly pay for quantitative finance graduate in the United States is $90,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,000.00 per year, depending on experience, location, and employer.

What are Quantitative Finance Graduates?

Quantitative Finance Graduates are individuals who have recently completed advanced studies—such as a master's or PhD—in quantitative finance or related fields like mathematics, statistics, or financial engineering. They typically possess strong analytical and programming skills, enabling them to analyze financial markets, develop pricing models, and manage risk. Most often, they pursue roles in investment banks, hedge funds, asset management firms, or fintech companies, where they apply quantitative methods to solve complex financial problems. The graduate designation indicates they are at the early stage of their professional careers, often starting in analyst or associate positions.

How much does a JP Morgan quant make?

A quantitative analyst (quant) at JP Morgan typically earns a base salary ranging from $100,000 to $150,000 annually, with total compensation including bonuses often exceeding $200,000. Compensation varies based on experience, location, and performance, and quants usually require strong programming skills and advanced degrees in quantitative fields.

What can I do with a quantitative finance degree?

A quantitative finance graduate can pursue roles such as quantitative analyst, risk manager, trading strategist, or financial engineer. These positions typically involve using mathematical models, programming skills, and financial theory to analyze markets, develop trading algorithms, or manage risk within financial institutions.

Is a master's in quant finance worth it?

A master's in quantitative finance can enhance job prospects for a quantitative finance graduate by providing advanced skills in mathematics, programming, and financial modeling. It often leads to higher starting salaries and better opportunities in roles such as quantitative analyst or risk manager, especially in competitive markets. However, practical experience and certifications like CFA or FRM also significantly impact employability and career growth.

What is the difference between Quantitative Finance Graduate vs Quantitative Analyst?

AspectQuantitative Finance GraduateQuantitative Analyst
Required CredentialsDegree in finance, mathematics, or related field; often entry-levelDegree plus experience; sometimes certifications like CFA or CQF
Work EnvironmentInternships, entry-level roles in finance firms, banks, hedge fundsMid-level to senior roles in similar environments, more responsibility
Employer & Industry UsageFinancial institutions, asset management, investment banksSame as above, with more specialized roles

The main difference is that a Quantitative Finance Graduate is typically an entry-level candidate with relevant education, while a Quantitative Analyst usually has more experience and takes on more complex analysis tasks within the same industry.

What types of projects and responsibilities can a Quantitative Finance Graduate expect in their first year?

As a Quantitative Finance Graduate, you can expect to work on a variety of projects such as developing pricing models, conducting risk analysis, and analyzing large financial datasets. You'll likely collaborate closely with traders, risk managers, and software developers to implement quantitative strategies and improve existing financial models. Many graduates also participate in rotational programs, which provide exposure to different teams and methodologies within the organization. This collaborative and fast-paced environment helps you quickly build both technical and business acumen, laying a strong foundation for future career growth.

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

To thrive as a Quantitative Finance Graduate, you need a solid background in mathematics, statistics, and finance, often supported by a relevant degree such as mathematics, physics, engineering, or finance. Familiarity with programming languages like Python, R, or MATLAB, and proficiency in quantitative modeling tools, are typically expected. Strong analytical thinking, attention to detail, and effective communication skills set standout candidates apart. These skills are essential for developing and implementing sophisticated financial models, interpreting complex data, and collaborating with multidisciplinary teams in fast-paced financial environments.

What jobs can you get with a master's in quantitative finance?

A master's in quantitative finance prepares graduates for roles such as quantitative analyst, risk manager, financial engineer, or algorithmic trader. These positions typically require strong skills in mathematics, programming, and data analysis, often using tools like Python, R, or MATLAB, and may involve working in investment banks, hedge funds, asset management firms, or financial technology companies.
More about Quantitative Finance Graduate jobs
What job categories do people searching Quantitative Finance Graduate jobs look for? The top searched job categories for Quantitative Finance Graduate jobs are:
Quantitative Finance Graduate jobs near you
Infographic showing various Quantitative Finance Graduate job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.
Quantitative Investment Analyst - Multi-Asset

Quantitative Investment Analyst - Multi-Asset

T Rowe Price

Baltimore, MD • Hybrid

Other

Posted 3 days ago

T. Rowe Price rating

9.1

Company rating: 9.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Job description

About the Team

T. Rowe Price's Multi-Asset Division collectively manages $550bn+ across a growing range of global retirement mandates and provides a collaborative, outcome-oriented environment for quantitative researchers from diverse academic and professional backgrounds.

Role Summary

The Quantitative Investment Analyst role in the Multi-Asset Division is intended for an experienced, highly quantitatively skilled candidate who will join the Lifecycle Research team responsible for setting the strategic asset allocation of target date strategies and for developing personalized retirement investment solutions. Researchers on the team build analytical frameworks and conduct rigorous quantitative studies related to various aspects of retirement investing. Main areas of focus span individual investor behavior, target date glide path construction and customization, personalized financial advice, household finance, and design of pooled and personalized retirement income solutions. In addition to deep, topic-specific research, the role requires active contribution to the team's analytical infrastructure. Responsibilities include reviewing and updating quantitative models, curating core datasets, and partnering closely with quantitative developers to implement scalable, production-quality code.

The research environment at T. Rowe Price is highly interactive and places a strong emphasis on integrity, collaboration, and intellectual agility. Successful candidates demonstrate pragmatism, comfort with ambiguity, and a constructive approach to feedback and change. We seek individuals with a development mindset and a genuine interest in building comprehensive, robust analytical systems that shape investment outcomes for millions of retirement savers worldwide. Prior financial industry experience is not required.

Responsibilities

  • Execute all stages of quantitative research, from project design to communicating results to the key stakeholders internally and externally
  • Extend and maintain the team's analytical and reporting infrastructure; this encompasses stewardship of core datasets, statistical models, and shared codebases
  • Disseminate research findings: participate in industry conferences and webinars, write white papers, and publish in peer-reviewed journals

Qualifications

Required:

  • Graduate degree in a STEM field
  • Strong foundation in applied data science (e.g., experimental research in natural sciences, statistics, finance, or econometrics)
  • Demonstrated programming proficiency, including developing and extending object-oriented, version-controlled code in MATLAB, Python, or Java
  • Collaborative working style: willingness to listen, penchant for sharing knowledge, and responsiveness to business needs
  • Ability to clearly convey complex analytical concepts and results to audiences with varying levels of technical expertise

Preferred:

  • Ph.D. in a STEM field
  • Expertise in operations research, optimization, and stochastic modeling
  • Demonstrated interest in applied research in lifecycle investing, quantitative financial planning, or adjacent fields
  • Prior experience conducting applied research in a business environment
  • Experience working within a software or research infrastructure development workflow

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to one day per week from home.

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