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Graduate Quant Jobs in Baltimore, MD (NOW HIRING)

Varsity Tutors

Statistics Graduate Level Tutor

Laurel, MD · Remote

$18 - $40/hr

What We Look For In a Statistics Graduate Level Tutor * Advanced Subject Mastery: Deep knowledge of ... quantitative disciplines. * Effective Teaching Methods: Ability to identify concepts students ...

Varsity Tutors

Statistics Graduate Level Tutor

Bowie, MD · Remote

$18 - $40/hr

What We Look For In a Statistics Graduate Level Tutor * Advanced Subject Mastery: Deep knowledge of ... quantitative disciplines. * Effective Teaching Methods: Ability to identify concepts students ...

Varsity Tutors

Quantitative Methods Tutor

Laurel, MD · Remote

$18 - $40/hr

Expertise in Quantitative Methods and the ability to explain concepts clearly. * Ability to ... Priority given to those with tutoring experience, teaching experience, and graduate-level education.

New

Varsity Tutors

Quantitative Methods Tutor

Bowie, MD · Remote

$18 - $40/hr

Expertise in Quantitative Methods and the ability to explain concepts clearly. * Ability to ... Priority given to those with tutoring experience, teaching experience, and graduate-level education.

New

Varsity Tutors

GRE Tutor

Laurel, MD · Remote

$23 - $40/hr

Advanced Graduate Test Mastery: Comprehensive knowledge of GRE Verbal Reasoning (text completion, sentence equivalence, reading comprehension), Quantitative Reasoning (arithmetic, algebra, geometry ...

Varsity Tutors

GRE Tutor

Bowie, MD · Remote

$23 - $40/hr

Advanced Graduate Test Mastery: Comprehensive knowledge of GRE Verbal Reasoning (text completion, sentence equivalence, reading comprehension), Quantitative Reasoning (arithmetic, algebra, geometry ...

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All JobsGraduate Quant JobsGraduate Quant Jobs in Baltimore, MD

Graduate Quant information

See Baltimore, MD salary details

$97.4K

$168.6K

$257.9K

How much do graduate quant jobs pay per year?

As of Jul 25, 2026, the average yearly pay for graduate quant in Baltimore, MD is $168,649.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,600.00 and $197,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Graduate Quant, you need a strong background in mathematics, statistics, and programming, typically supported by a quantitative degree such as mathematics, physics, engineering, or computer science. Familiarity with programming languages like Python, C++, R, and financial modeling tools is usually expected, and knowledge of data analysis platforms is beneficial. Analytical thinking, attention to detail, and strong problem-solving abilities are standout soft skills for this role. These skills and qualities are crucial for building robust quantitative models and delivering actionable insights in fast-paced financial environments.

What are some typical challenges faced by Graduate Quants during their first year, and how can they effectively overcome them?

Graduate Quants often encounter challenges such as adapting to high-pressure environments, learning to communicate complex quantitative concepts to non-technical colleagues, and quickly mastering new financial models or programming languages. To overcome these hurdles, it's helpful to proactively seek feedback, collaborate closely with more experienced team members, and dedicate time to continual learning, both on the job and through self-study. Building strong relationships within the team and staying updated on industry trends can also ease the transition and foster professional growth.

What are Graduate Quants?

Graduate Quants, or Graduate Quantitative Analysts, are entry-level professionals who use mathematical, statistical, and computational techniques to analyze financial markets and help institutions make informed trading, investment, and risk management decisions. Typically, they have recently completed advanced degrees in fields like mathematics, physics, engineering, or finance. Graduate Quants often work in banks, hedge funds, or trading firms, applying quantitative models to solve complex financial problems. Their roles may include developing algorithms, conducting data analysis, and supporting senior quants with research and model implementation.

What is the difference between Graduate Quant vs Quant Analyst?

AspectGraduate QuantQuant Analyst
Required CredentialsDegree in Math, Finance, or related field; often entry-levelSame as Graduate Quant, but may require some experience
Work EnvironmentResearch-focused, training programs, junior rolesMore client-facing, strategy implementation, senior responsibilities
Employer & Industry UsageHedge funds, investment banks, asset managersFinancial institutions, trading firms, hedge funds
Search & Comparison IntentYes, often compared for entry-level rolesMore experienced, but related roles

The main difference between a Graduate Quant and a Quant Analyst lies in experience and responsibilities. Graduate Quants are typically entry-level, focusing on learning and research, while Quant Analysts have more experience and handle strategy implementation and client interactions. Both roles are common in finance and require strong quantitative skills, but the level of responsibility and experience distinguishes them.

What are popular job titles related to Graduate Quant jobs in Baltimore, MD? For Graduate Quant jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Graduate Quant jobs in Baltimore, MD look for? The top searched job categories for Graduate Quant jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Graduate Quant jobs? Cities near Baltimore, MD with the most Graduate Quant job openings:
Graduate Quant jobs near you
Quantitative Investment Analyst - Multi-Asset

Quantitative Investment Analyst - Multi-Asset

T Rowe Price

Baltimore, MD • Hybrid

Other

Posted 5 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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