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Quantitative Analyst Jobs in Baltimore, MD (NOW HIRING)

T Rowe Price

Investment Analyst

Baltimore, MD · Hybrid

Role Summary The investment analyst will research investment opportunities through the integration of quantitative methods and techniques with fundamental insights and data. Responsibilities

Cymertek

Data Analyst

Annapolis Junction, MD · On-site

SIMILAR CAREER TITLES Business Analyst, Data Scientist, Data Engineer, Financial Analyst, Marketing Analyst, Operations Analyst, Reporting Analyst, Insights Analyst, Research Analyst, Quantitative ...

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All JobsQuantitative Analyst JobsQuantitative Analyst Jobs in Baltimore, MD

Quantitative Analyst information

See Baltimore, MD salary details

$56.1K

$133K

$238.5K

How much do quantitative analyst jobs pay per year?

As of Aug 24, 2026, the average yearly pay for quantitative analyst in Baltimore, MD is $133,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $144,600.00 per year, depending on experience, location, and employer.

What is a quantitative analyst?

Quantitative Analysts, often called 'quants,' are professionals who use mathematical models, statistics, and computer programming to analyze financial data and support decision-making in finance. They develop and implement complex models to assess risk, value financial securities, and identify profitable investment opportunities. Quants are commonly employed by investment banks, hedge funds, asset management companies, and other financial institutions. Their work helps optimize trading strategies, manage risk, and improve financial performance.

What does a quantitative analyst do?

The responsibilities of quantitative analysts, or quants, include using mathematical models and statistics to analyze data to assess risks and develop solutions for business issues. In this role, you can work in a variety of industries, from production to finance to insurance. You typically gather and interpret data to help an organization implement a solution for maintaining its fiscal health. Duties vary with the industry. Some positions focus on collecting information from the general public or consumers of particular products through the use of polls and surveys to improve their design and marketing. Other quants work alongside researchers in the health care field to test treatments and medical equipment design.

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

To thrive as a Quantitative Analyst, you need a strong background in mathematics, statistics, computer science, and finance, often supported by an advanced degree such as a master's or PhD. Expertise in programming languages like Python, R, or MATLAB, as well as familiarity with financial modeling tools and statistical software, is typically required. Analytical thinking, problem-solving abilities, and clear communication skills help you interpret complex data and convey insights to stakeholders. These competencies are crucial for developing accurate financial models, managing risk, and enabling data-driven decision-making in competitive financial environments.

How does a quantitative analyst typically collaborate with other departments within a financial organization?

Quantitative Analysts frequently work closely with traders, portfolio managers, risk managers, and IT professionals to develop, test, and implement financial models. Effective communication is essential, as they must translate complex quantitative findings into actionable insights for decision-makers. It's common to participate in cross-functional meetings, provide model validation support, and help interpret results for non-technical stakeholders. This collaborative environment fosters both technical skill development and a deeper understanding of the business, which can open doors to broader career opportunities.

What is the difference between Quantitative Analyst vs Data Scientist?

AspectQuantitative AnalystData Scientist
Required CredentialsDegree in finance, mathematics, or statistics; often certifications like CFADegree in computer science, statistics, or related fields; certifications like CAP or data science certifications
Work EnvironmentFinancial firms, investment banks, hedge fundsTech companies, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in finance and investment sectorsAcross multiple industries including tech, healthcare, and retail
Common Search & Comparison IntentUnderstanding roles in finance and investment analysisExploring data analysis and machine learning roles

While both roles involve data analysis and statistical skills, Quantitative Analysts focus on financial modeling and investment strategies within finance firms. Data Scientists have a broader scope, applying data analysis across various industries, often with programming and machine learning expertise.

What is the starting salary of a quantitative analyst?

The starting salary for a quantitative analyst typically ranges from $60,000 to $90,000 annually, depending on factors such as location, education, and industry. Entry-level roles often require strong skills in mathematics, programming, and data analysis tools like Python or R.
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Quantitative Analyst jobs near you
Infographic showing various Quantitative Analyst job openings in Baltimore, MD as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution, with an average salary of $133,026 per year, or $64 per hour.

Quantitative Investment Analyst - Multi-Asset

T Rowe Price

Baltimore, MD • Hybrid

Full-time

Re-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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