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Quantitative Algorithmic Trading Researcher Jobs

Tower Research Capital

$120K - $200K/yr

Designing, implementing and deploying trading algorithms * Researching high to mid frequency alphas ... Experience in quantitative trading is preferred but not a requirement * A strong background in ...

Eagle Seven

Algorithmic Trader

Chicago, IL · On-site

... research tools on a variety of algorithmic trading strategies to improve profitability of existing models * Applying expertise in market microstructure, historical tick data, and quantitative ...

Eagle Seven

Algorithmic Trader

Chicago, IL · On-site

... research tools on a variety of algorithmic trading strategies to improve profitability of existing models * Applying expertise in market microstructure, historical tick data, and quantitative ...

Wintermute Group

Researching and developing new trading strategies and products. * Analysing large volumes of market ... Excellent quantitative and analytical skills - we will test these. * Typically 1-3 years of ...

Wintermute

Algorithmic Trader

New York, NY · On-site

Researching and developing new trading strategies and products. * Analysing large volumes of market ... Excellent quantitative and analytical skills - we will test these. * Typically 1-3 years of ...

Wintermute Group

Algorithmic Trader

Manhattan, NY · On-site

Researching and developing new trading strategies and products. * Analysing large volumes of market ... Excellent quantitative and analytical skills - we will test these. * Typically 1-3 years of ...

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Quantitative Algorithmic Trading Researcher information

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$52.5K

$119.2K

$196.5K

How much do quantitative algorithmic trading researcher jobs pay per year?

As of Sep 11, 2026, the average yearly pay for quantitative algorithmic trading 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 are popular job titles related to Quantitative Algorithmic Trading Researcher jobs?

For Quantitative Algorithmic Trading Researcher jobs, the most frequently searched job titles are:

Infographic showing various Quantitative Algorithmic Trading Researcher job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 72% Physical, 5% Hybrid, and 23% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Quantitative Researcher (Experienced)

Chicago, IL • On-site

Valkyrie Trading
Securities, Commodity Contracts, and Financial Investments • 11 - 50 employees
Learn more about Valkyrie Tradingexternal

$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.
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