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Quantitative Researcher information

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$52.2K

$118.4K

$195.3K

How much do quantitative researcher jobs pay per year?

As of Sep 1, 2026, the average yearly pay for quantitative researcher in Baltimore, MD is $118,407.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What is a quantitative researcher?

A quantitative researcher analyzes business data for an organization. Their job is to examine this data to develop improved business models and aid in financial decision-making. Typical job duties involve using market research and data collection to study trends or problems. They also compile their results into reports for upper management. A career as a quantitative researcher requires a degree in economics, mathematics, statistics, or a related field. Additional qualifications include communication skills, business experience, and knowledge of relevant statistical tools and computer software.

What are the key skills and qualifications needed to thrive as a quantitative researcher?

To thrive as a Quantitative Researcher, you need strong mathematical, statistical, and programming skills, often supported by an advanced degree in a quantitative field such as mathematics, statistics, physics, or computer science. Proficiency with technical tools like Python, R, MATLAB, SQL, and experience with data analysis platforms and machine learning libraries is typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable insights and collaborating with interdisciplinary teams. These competencies are crucial for developing robust models, extracting valuable patterns from large datasets, and driving data-informed decision-making.

What are some common challenges quantitative researchers face when working with large datasets, and how are they typically addressed?

Quantitative Researchers often encounter challenges such as data quality issues, computational limitations, and ensuring the reproducibility of their analyses when working with large datasets. To address these, they rely on efficient data cleaning techniques, leverage high-performance computing resources, and use version control tools for code and data. Collaborating closely with data engineers and software developers is also common to streamline data pipelines and optimize analytical workflows.

Do I need a PhD to be a quantitative researcher?

A PhD is often preferred for quantitative researcher roles, especially in finance or academia, as it demonstrates advanced analytical and statistical skills. However, some positions may accept candidates with a master's degree or equivalent experience in mathematics, statistics, or related fields, along with strong programming skills in tools like Python or R.
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Quantitative Researcher jobs near you
Infographic showing various Quantitative Researcher job openings in Baltimore, MD as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $118,407 per year, or $56.9 per hour.

Quantitative Researcher (Equity Investing)

T Rowe Price

Baltimore, MD • Hybrid

Full-time

Re-posted 16 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

Role Summary

The Quantitative Researcher combines advanced AI and quantitative investing techniques to enhance and support our fundamental investment process. Working alongside experienced analysts and portfolio managers, this role will help deliver innovative, data-driven insights that inform better investment decisions. This is an opportunity to be part of a team deeply engaged in pioneering AI research and modern quantitative approaches, collaborating directly with our fundamental research platform on initiatives that help shape the future of the firm's investment strategies.

Responsibilities

Build Strategic Relationships with Stakeholders:

  • Develop and maintain strong, consultative relationships with fundamental analysts and portfolio managers (PMs)
  • Seek to understand each stakeholder's investment framework, objectives, and decision-making approach
  • Serve as a valued partner, identifying opportunities where quantitative techniques, alternative data, and/or AI can add meaningful value to their process

Deliver Research-Backed Insights and Consultation:

  • Conduct independent, high-quality research integrating quantitative and AI techniques
  • Author clear, insightful research reports that communicate complex findings effectively for both technical and non-technical audiences
  • Respond to ad-hoc data requests while also initiating value-add projects independently

Proactive Research & Recommendations:

  • Anticipate and identify areas where quantitative analysis could inform or enhance current investment theses
  • Push relevant research and portfolio reviews proactively to analysts and PMs, supplementing their ongoing decision-making process
  • Present research and recommendations confidently in meetings and formal presentations to the investment team

Facilitate Integration of Quantitative Insights and AI:

  • Foster adoption and integration of quantitative techniques into the fundamental investment process
  • Work collaboratively across teams (Integrated Equity, Fixed Income, Multi-Asset Research, Data Science, Technology) to deliver solutions when necessary
  • Ensure clear communication and successful project delivery between quantitative and fundamental research groups

Success Measures:

  • Strength and breadth of relationships with key stakeholders (Analysts, PMs, Investments leadership)
  • Demonstrated impact through increased awareness and utilization of data-driven insights by fundamental investors
  • Quality, clarity, and influence of published research and presentations
  • Measurable contribution to improved investment results

Qualifications

Required:

  • B.S. in a quantitative discipline (Computer Science, Applied Mathematics, Statistics, or related field)
  • Exceptional analytical and problem-solving skills, blending both quantitative rigor and qualitative judgment
  • Advanced proficiency in programming languages (R, Python, and SQL) plus experience applying these to research and modeling in an investment context
  • Outstanding written and verbal communication skills, with demonstrated ability to present complex quantitative concepts to diverse audiences
  • Strong interpersonal, relationship-building, and collaborative skills; team-oriented with a high degree of professionalism

Preferred:

  • M.S. or Ph.D. in a quantitative discipline
  • 3+ years of experience applying quantitative and AI methods in an investing or financial setting
  • Familiarity with dashboarding tools (e.g., Power BI, Tableau, Shiny / Posit Connect)
  • CFA charter/candidate, or commitment to obtaining one
  • Experience leveraging LLMs programmatically for research purposes

Desired Personal Attributes:

  • Proactive, resourceful, and self-motivated
  • Intellectual curiosity, openness to new challenges, and willingness to learn cutting-edge techniques
  • Collaborative and team-oriented

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.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (e.g., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant work status.

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