1

Weekend Quantitative Analyst Jobs in Maryland (NOW HIRING)

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

Conduct quantitative analyses of information affecting investment programs of public or private institutions. Provides Foreign Military Sales (FMS) financial management support from implementation to ...

Position Description Conduct quantitative analyses of information affecting investment programs of public or private institutions. Provides Foreign Military Sales (FMS) financial management support ...

Data Analyst, Segment Marketing

Owings Mills, MD · Hybrid

$82K - $102K/yr

About the Team We are seeking a Data Analyst, Individual Investors (II) Advice & Client Product Marketing team who will provide strong quantitative and critical thinking skills to help deliver a high ...

Aptitude for quantitative analysis. * Proficiency in standard business software. * Proven problem-solving skills and the ability to develop effective solutions. * Excellent verbal and written ...

Account Analyst

Baltimore, MD · On-site

$48K - $71K/yr

Understanding of category management with strong quantitative, analytical and computer skills ... Ability and willingness to work flexible hours, including some weekends. * Demonstrated ability to ...

New

Account Analyst

Bethesda, MD · On-site +1

$55K - $81K/yr

Understanding of category management with strong quantitative, analytical and computer skills ... Ability and willingness to work flexible hours, including some weekends. * Demonstrated ability to ...

Account Analyst

Ocean City, MD · On-site

$48K - $71K/yr

Understanding of category management with strong quantitative, analytical and computer skills ... Ability and willingness to work flexible hours, including some weekends. * Demonstrated ability to ...

New

Quantitative, analytical and problem-solving skills. * Knowledge and understanding of analytical tools, languages, applications, platforms. * Excellent communication skills both written and verbal.

Account Analyst

Bethesda, MD · On-site

$48K - $71K/yr

Understanding of category management with strong quantitative, analytical and computer skills ... Ability and willingness to work flexible hours, including some weekends. * Demonstrated ability to ...

Account Analyst

Bethesda, MD · On-site

$55K - $81K/yr

Understanding of category management with strong quantitative, analytical and computer skills ... Ability and willingness to work flexible hours, including some weekends. * Demonstrated ability to ...

Senior Data Analyst (Remote)

Baltimore, MD · Remote

$85K - $107K/yr

Quantitative, analytical and problem-solving skills. * Knowledge and understanding of analytical tools, languages, applications, platforms. * Excellent communication skills both written and verbal.

next page

Showing results 1-20

Weekend Quantitative Analyst information

What is a weekend quantitative analyst?

A Weekend Quantitative Analyst is a professional who applies mathematical and statistical techniques to analyze data and solve financial or business problems, specifically during weekends. They often work for financial institutions, investment firms, or consulting companies, focusing on tasks such as modeling, risk analysis, and data interpretation. This role may involve supporting trading activities, conducting research, or testing algorithms outside of regular weekday hours. Weekend Quantitative Analysts help organizations maintain continuous operations and respond to market changes that occur over weekends. Strong skills in mathematics, programming, and data analysis are essential for success in this position.

What are the typical responsibilities of a weekend quantitative analyst, and how does the work differ from weekday roles?

As a Weekend Quantitative Analyst, your main responsibilities typically include real-time data analysis, monitoring market movements, and supporting trading teams during weekend trading sessions. Unlike weekday roles that may focus more on research or strategy development, weekend analysts often prioritize immediate problem-solving and rapid response to market events. Collaboration is usually remote, with communication channels open to traders and risk managers who require timely insights. This role is ideal for individuals seeking flexibility while still contributing to critical decision-making processes in financial institutions.

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

To thrive as a Weekend Quantitative Analyst, you need strong quantitative analysis skills, proficiency in statistics, and a degree in mathematics, finance, or a related field. Familiarity with programming languages like Python or R, statistical modeling tools, and data visualization platforms is typically required. Exceptional problem-solving abilities, attention to detail, and effective time management set top performers apart in this role. These skills and qualities are crucial for accurate data-driven insights and timely financial decision-making, especially during critical weekend market hours.

What is the difference between Weekend Quantitative Analyst vs Part-Time Quantitative Analyst?

AspectWeekend Quantitative AnalystPart-Time Quantitative Analyst
CredentialsTypically requires a degree in finance, mathematics, or related field; certifications like CFA are commonSimilar educational background; certifications optional but beneficial
Work EnvironmentUsually works during weekends or specific days, often in financial firms or hedge fundsFlexible hours, often in the same environments as weekend analysts
Employer & Industry UsageUsed by hedge funds, asset managers, and financial institutions for weekend analysisCommon across financial firms for flexible, part-time support roles

The main difference between a Weekend Quantitative Analyst and a Part-Time Quantitative Analyst lies in their work schedule. Weekend analysts specifically work during weekends, while part-time analysts may have flexible hours throughout the week. Both roles require similar skills and credentials, and are used in comparable financial environments to support quantitative research and analysis.

Are weekend quantitative analysts in high demand?

Weekend quantitative analysts are in moderate demand, primarily in financial firms that require 24/7 market monitoring and data analysis. Their roles often involve skills in programming, statistical modeling, and familiarity with tools like Python or R, but demand can vary based on market conditions and company needs.

What are the most commonly searched types of Quantitative Analyst jobs in Maryland?

The most popular types of Quantitative Analyst jobs in Maryland are:

Infographic showing various Weekend Quantitative Analyst job openings in Maryland as of July 2026, with employment types broken down into 1% Locum Tenens, 85% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Quantitative Investment Analyst - Multi-Asset

T Rowe Price

Baltimore, MD • Hybrid

Full-time

Re-posted 17 days ago


Key responsibilities

  • Execute all stages of quantitative research, from project design to communicating results to stakeholders

  • Extend and maintain the team's analytical and reporting infrastructure, including core datasets, statistical models, and shared codebases

  • Disseminate research findings through industry conferences, webinars, white papers, and peer-reviewed publications


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.


What T. Rowe Price employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom