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Senior Quantitative Researcher Jobs (NOW HIRING)

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Senior Quantitative Researcher information

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$81.5K

$100.1K

$128K

How much do senior quantitative researcher jobs pay per year?

As of Jul 13, 2026, the average yearly pay for senior quantitative researcher in the United States is $100,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is a Senior Quantitative Researcher?

A Senior Quantitative Researcher is an expert who uses advanced mathematical, statistical, and computational techniques to analyze data and develop models, often in finance, technology, or scientific research. They lead research projects, create complex algorithms, and provide actionable insights from large datasets. Senior Quantitative Researchers also mentor junior team members, contribute to strategic decision-making, and help organizations gain a competitive edge through data-driven solutions.

What are the key skills and qualifications needed to thrive as a Senior Quantitative Researcher, and why are they important?

To thrive as a Senior Quantitative Researcher, you need advanced expertise in mathematics, statistics, and quantitative modeling, typically supported by a graduate degree in a quantitative field such as mathematics, physics, or engineering. Proficiency with programming languages like Python, R, or C++, data analysis tools, and experience with statistical software or high-performance computing platforms is crucial. Exceptional problem-solving ability, strong communication skills, and the capacity to work both independently and collaboratively distinguish top performers in this role. These skills and qualities are vital for developing robust quantitative models, delivering actionable insights, and driving data-driven decision-making within competitive research environments.

What are some common challenges faced by Senior Quantitative Researchers in collaborative projects with portfolio managers and engineers?

Senior Quantitative Researchers often encounter challenges when translating complex mathematical models into actionable strategies that can be implemented by portfolio managers and engineers. Effective communication is crucial, as technical concepts must be clearly explained to non-technical stakeholders. Additionally, balancing the need for rigorous, data-driven analysis with practical constraints such as computational resources and real-time market conditions can be demanding. Successful collaboration requires adaptability, proactive problem-solving, and a willingness to iterate on models based on feedback from cross-functional teams.

What is the difference between Senior Quantitative Researcher vs Quantitative Analyst?

AspectSenior Quantitative ResearcherQuantitative Analyst
Required CredentialsMaster's or PhD in Finance, Mathematics, or related field; strong programming skillsBachelor's or Master's in related fields; programming skills preferred
Work EnvironmentResearch-focused, often in finance, hedge funds, or asset management firmsData analysis, model development, often in finance or investment firms
Employer & Industry UsageUsed in hedge funds, asset managers, financial institutionsCommon in investment banks, asset management, financial services

The main difference is that Senior Quantitative Researchers typically lead complex research projects, develop new models, and have more advanced credentials, while Quantitative Analysts focus on data analysis, model implementation, and supporting trading strategies. Senior Quantitative Researchers often have more experience and responsibilities in research innovation.

More about Senior Quantitative Researcher jobs
What cities are hiring for Senior Quantitative Researcher jobs? Cities with the most Senior Quantitative Researcher job openings:
What are the most commonly searched types of Quantitative Researcher jobs? The most popular types of Quantitative Researcher jobs are:
Who are the top companies hiring for Senior Quantitative Researcher jobs? The top employers for Senior Quantitative Researcher jobs are:
What states have the most Senior Quantitative Researcher jobs? States with the most job openings for Senior Quantitative Researcher jobs include:
Infographic showing various Senior Quantitative Researcher job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 75% Physical, 4% Hybrid, and 21% Remote job distribution, with an average salary of $100,127 per year, or $48.1 per hour.
Quantitative Researcher (Experienced)

Quantitative Researcher (Experienced)

Valkyrie Trading

Chicago, IL โ€ข On-site

$155K - $190K/yr

Full-time

Medical, Dental, PTO

Re-posted 20 days ago


Job description

What You'll Do:
At Valkyrie, Quantitative Researchers are expected to apply their quantitative skill set to solve challenging problems in financial modeling, algorithm development, and system optimizations. In this role, you will have an opportunity to work with traders and software developers in a highly collaborative environment to improve Valkyrie's complex, ever-evolving algorithmic infrastructure. Specific responsibilities can range from building tools for traders to exploring new trading ideas, to writing algorithms from scratch, to automating and refining existing strategies, to analyzing and optimizing system performance. You will also inform traders about the market developments, tools, and models that drive Valkyrie's trading activities.
Quantitative Researchers here focus on one of two areas: modeling or execution. Modeling Quantitative Researchers are expected to design automated market-making and risk management algorithms, and to build statistically driven position taking strategies. Execution Quantitative Researchers are expected to perform post-trade analysis, system behavior investigations, algo parameter optimizations, market microstructure studies, and other execution system optimizations.
This role is for experienced applicants. Those with 3+ years of relevant experience will be considered for a Senior-level role.
What You'll Need:
  • 2+ years of full-time, professional experience in quantitative research, trading, or technology role-ideally in an algorithmic trading firm or a similar high-performance environment
  • Degree in mathematics, physics, engineering, computer science or equivalent
  • Ability to write and maintain a repository of clean, organized, object-oriented Python code; C++ experience is a plus
  • Proven experience in Options and volatility modeling, or statistical analysis on large data sets OR Diagnosing and optimizing algo logic in latency-sensitive or high-throughput distributed systems
  • Expertise working with MySQL or similar databases in conducting historical research and back-testing
  • Passion for innovation and solving open-ended, data-rich problems
  • Strong communication skills, both written and verbal, with the ability to explain complex, technical ideas clearly
  • Collaborative attitude with a competitive drive and comfort with metrics-based performance evaluation
  • Practical mindset with a focus on delivering impactful, production-grade solutions

What You'll Get:
  • Competitive salaries and performance bonuses
  • Top-tier medical and dental coverage
  • Relocation assistance packages
  • Generous vacation policy
  • Training opportunities and continuing education
  • Catered lunch, snacks, and beverages
  • Group outings and company parties
  • Casual dress environment

Salary range
  • $155,000 - $190,000 a year
  • This position is also eligible for an annual discretionary bonus.

Our Vision
  • Valkyrie's vision is to be an organization where curious, driven, and innovative people are able to compete and win in the world's most competitive landscape - the financial markets. Daily competition in the financial markets provides the ideal arena to push ourselves further as we are ever striving to grow, improve, and win. We recognize that there are extraordinary opportunities to be had every day, and by exploring, collaborating, and building, we can accomplish remarkable results together.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.