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Flexible Quantitative Researcher Jobs (NOW HIRING)

Citadel

Quantitative Researcher - PhD Intern (US)

Miami, FL · On-site

$4.5K - $5.8K/wk

Quantitative Researchers play a key role in this mission by developing next-generation models and ... Occasionally, we can be flexible to other times of the year. You will be able to indicate your ...

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How much do flexible quantitative researcher jobs pay per year?

As of Aug 7, 2026, the average yearly pay for flexible quantitative researcher in the United States is $119,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $152,500.00 per year, depending on experience, location, and employer.

How does a flexible quantitative researcher typically collaborate with cross-functional teams to drive impactful results?

As a Flexible Quantitative Researcher, you will frequently work alongside data scientists, software engineers, portfolio managers, and business stakeholders to develop and implement data-driven strategies. Collaboration often involves translating complex quantitative analyses into actionable insights and adapting your approach based on the unique needs of each project or team. This role requires strong communication skills and adaptability, as priorities may shift between research, model development, and real-time problem-solving. Being open to feedback and proactively sharing findings are key to ensuring your work has a tangible impact across the organization.

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

To thrive as a Flexible Quantitative Researcher, you typically need strong analytical skills, advanced knowledge of statistics, and a background in mathematics, physics, computer science, or a related field. Proficiency in programming languages such as Python, R, or MATLAB, as well as experience with data analysis tools and statistical software, is often required. Exceptional problem-solving, adaptability, and communication skills help you effectively interpret data and collaborate across multidisciplinary teams. These abilities are crucial for developing innovative quantitative models and insights that drive effective decision-making in dynamic environments.

What is the difference between Flexible Quantitative Researcher vs Data Analyst?

AspectFlexible Quantitative ResearcherData Analyst
CredentialsTypically requires a degree in statistics, mathematics, or related fieldsOften requires a degree in data science, statistics, or related areas
Work EnvironmentResearch-focused, often in finance, marketing, or consulting firmsBusiness or corporate settings, analyzing data to inform decisions
Employer & IndustryFinancial institutions, market research firms, consulting companiesCorporations, tech companies, healthcare, retail
Search & Comparison IntentUnderstanding research methodologies, flexible roles in quantitative analysisData interpretation, reporting, and visualization skills

The Flexible Quantitative Researcher and Data Analyst roles share a focus on data analysis and require similar educational backgrounds. However, the researcher often emphasizes flexible, research-driven projects in specialized industries, while data analysts tend to focus on business reporting and data visualization within corporate environments.

What is a flexible quantitative researcher?

Flexible Quantitative Researchers are professionals who use mathematical, statistical, and computational techniques to analyze data and solve complex problems, often in finance, technology, or science. The 'flexible' aspect refers to their ability to adapt to different projects, industries, or methodologies, depending on the needs of their employer or clients. They commonly work with large datasets, build quantitative models, and help organizations make data-driven decisions. This role requires strong analytical skills, programming knowledge, and the ability to quickly learn new tools or adapt to changing research priorities.
More about Flexible Quantitative Researcher jobs
What cities are hiring for Flexible Quantitative Researcher jobs? Cities with the most Flexible Quantitative Researcher job openings:
What are the most commonly searched types of Quantitative Researcher jobs? The most popular types of Quantitative Researcher jobs are:
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Flexible Quantitative Researcher jobs near you
Infographic showing various Flexible Quantitative Researcher job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Quantitative Researcher - PhD Intern (US)

Citadel Securities

Manhattan, NY

$112.50 - $145/hr

Full-time

Posted 6 days ago

Job description

Job Description

At Citadel Securities, a leading global market maker, our team of quantitative researchers models the markets and brings trading strategies to life every day. Specifically, this team develops and tests automated quant trading strategies using sophisticated statistical techniques. You'll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world.

As an intern, you'll dive into research through an 11 week program that will allow you to collaborate and connect with senior team members. In addition, you'll get the opportunity to network and socialize with peers throughout the internship.

Our signature internship program takes place June through August. Occasionally, we can be flexible to other times of the year. You will be able to indicate your timing preference in the application.

Your Objectives

  • Conceptualize valuation strategies, develop and continuously improve upon mathematical models, and help translate algorithms into code
  • Back test and implement trading models and signals in a live trading environment
  • Use unconventional data sources to drive innovation
  • Conduct research and statistical analysis to build and refine monetization systems for trading signals

Your Skills & Talents

  • PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field
  • Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP)
  • Prior experience working in a data driven research environment
  • Experience with translating mathematical models and algorithms into code (Python, R or C++)
  • Independent research experience
  • Ability to manage multiple tasks and thrive in a fast-paced team environment
  • Excellent analytical skills, with strong attention to detail
  • Strong written and verbal communication skills

Opportunities may be available from time to time in any location in which the business is based for suitable candidates. If you are interested in a career with Citadel Securities, please share your details and we will contact you if there is a vacancy available.

In accordance with applicable law, the base salary range for this role is $4,500 to $5,800 per week.

About Citadel Securities

Citadel Securities is a technology-driven, next-generation global market maker. We provide institutional and retail investors with world-class liquidity, competitive pricing and seamless front-to-back execution in a broad array of financial products. Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market's and our clients' most critical challenges. Together, we are forging the future of capital markets. For more information, visit citadelsecurities.com .

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