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Flexible Quantitative Researcher Jobs (NOW HIRING)

TIFIN

Quant AI Investments, TIFIN.ai

Boulder, CO · On-site

$150K - $225K/yr

You will translate cutting-edge quantitative research and AI capabilities into scalable, revenue ... flexible PTO. See our Careers page for more details. TIFIN is proud to be an equal opportunity ...

MFS

Quantitative Research Associate

Boston, MA · Hybrid

$10K/mo

The Quantitative Research Associate Program is designed to be a 3 - 4-year program, where ... Tax deferred commuter benefits & flexible spending accounts (medical & dependent care) * Wellness ...

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How much do flexible quantitative researcher jobs pay per year?

As of Sep 2, 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.

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.

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.

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 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.

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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 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Junior Quantitative Researcher (Ph.D.)

Old Mission

Chicago, IL • On-site, Remote

$175K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Job description

About the Position

We are actively seeking a Junior Quantitative Researcher (Ph.D.) to join our Chicago office. In this role, you will collaborate directly with our options trading group, contributing to the enhancement of existing pricing models, and spearheading the development of cutting-edge models and tools. The primary focus will be on efficiently pricing volatility-based derivatives across diverse asset classes. As a key member of the team, you will actively participate in the options research idea generation process and may also take the lead in expanding the capabilities of the quant team to further enhance the options desk.

Responsibilities

  • Conceptualize and implement cutting-edge derivative pricing models for single-asset derivatives, as well as pricing models for widely traded equity volatility products such as variance swaps, volatility swaps, and VIX options.
  • Evaluate existing options pricing models, scrutinizing aspects such as calibration accuracy and Greeks stability to identify any anomalies. Investigate and propose enhancements to address identified issues.
  • Develop more resilient and stable alternative options pricing models, including exploring and suggesting new parameterizations for the volatility surface and designing improved filtering rules for market data quotes during calibration.
  • Develop options specific research infrastructure and libraries in Python.
  • Analyze market data and microstructure to identify patterns, facilitating the exploration of trading ideas.
  • Actively participate in the idea generation process for options research, contributing insights and innovations.
  • Collaborate closely with traders, engaging in the analysis of data and jointly developing new tools and ideas to identify patterns in the market.

Required Skills 

  • Must have a Masters or Ph.D. in a quantitative discipline, encompassing fields such as computer science, engineering, physics, mathematics, statistics, or other hard sciences, with an anticipated graduation date of Summer 2027.
  • Proficient in derivatives and volatility modeling, including the construction and calibration of forward curves and volatility surfaces. Possess extensive knowledge of equity and index derivative products, including variance derivatives, VIX, and other related instruments. Experience with dividend swaps and futures is considered advantageous.
  • Must have programming skills in Python and C++ are a prerequisite
  • Demonstrated exceptional written and verbal communication skills, with the ability to manage multiple tasks in a time-sensitive, collaborative, and fast-paced environment.
  • A team-oriented problem solver with the capacity to thrive under pressure, exhibiting a genuine passion for the financial markets.
  • Highly organized, detail-oriented, and adept at managing multiple work streams concurrently.
  • Proven track record of trustworthiness and performance, consistently adhering to the highest ethical standards.

Benefits and Perks

  • Fully paid Medical, Dental, Vision, Disability, and Life Insurance
  • Fully stocked kitchen; free breakfast and lunch every day on-site
  • Tuition Reimbursement Program
  • 401(k) with employer match
  • Paid Vacation, Sick, and Parental leaves
  • Commuter and Flexible Spending Programs

Base Salary Range 

$175,000 - $250,000 - Salaries are based on numerous factors such as skills, experience, and education. Our compensation package also includes a discretionary bonus and a comprehensive benefits program for full-time employees. For more information, reach out to your recruiter. 

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