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Algorithmic Execution Quant Jobs in Brighton, MA

Whoop

Senior Research Scientist

Boston, MA · On-site

$107K - $136K/yr

... algorithm development * Collaborate closely with product, engineering, and data science teams to ... Contribute to the design and execution of research programs * Produce high-quality scientific ...

Whoop

Senior Research Scientist

Boston, MA

$107K - $136K/yr

... algorithm development * Collaborate closely with product, engineering, and data science teams to ... Contribute to the design and execution of research programs * Produce high-quality scientific ...

Whoop

Senior Research Scientist

Boston, MA · On-site

$107K - $136K/yr

... algorithm development * Collaborate closely with product, engineering, and data science teams to ... Contribute to the design and execution of research programs * Produce high-quality scientific ...

Whoop

Senior Research Scientist

Boston, MA

$107K - $136K/yr

... algorithm development * Collaborate closely with product, engineering, and data science teams to ... Contribute to the design and execution of research programs * Produce high-quality scientific ...

WHOOP

Senior Research Scientist

Boston, MA · On-site

$107K - $136K/yr

... inform product direction and algorithm development • Collaborate closely with product ... Required : • PhD (or equivalent experience) in a quantitative or health-related field (e.g ...

WHOOP

Senior Research Scientist

Boston, MA · On-site

$107K - $136K/yr

... inform product direction and algorithm development • Collaborate closely with product ... Required : • PhD (or equivalent experience) in a quantitative or health-related field (e.g ...

Lancesoft

Communications Systems Engineer

Lexington, MA · On-site

$100 - $120/hr

... and Control Algorithms 0 years Programming C/C++ Programming 0 years GIT/GITHUB 0 years RF ... provide quantitative performance data as well as complexity information. The group's system ...

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Algorithmic Execution Quant information

See Brighton, MA salary details

$57.2K

$129.9K

$214.2K

How much do algorithmic execution quant jobs pay per year?

As of Jul 5, 2026, the average yearly pay for algorithmic execution quant in Brighton, MA is $129,870.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $166,200.00 per year, depending on experience, location, and employer.

What is the difference between Algorithmic Execution Quant vs Quantitative Trader?

AspectAlgorithmic Execution QuantQuantitative Trader
Primary FocusDeveloping and implementing algorithms for trade execution to minimize market impactCreating trading strategies to generate alpha and profit from market movements
Work EnvironmentQuantitative research teams, trading desks, technology-drivenTrading floors, portfolio management teams, research departments
Required SkillsProgramming, market microstructure, execution algorithmsQuantitative modeling, market analysis, strategy development

While both roles involve quantitative skills, an Algorithmic Execution Quant specializes in optimizing trade execution processes, whereas a Quantitative Trader focuses on developing strategies to generate profits. The roles often collaborate but serve different functions within trading firms.

What are the key skills and qualifications needed to thrive as an Algorithmic Execution Quant, and why are they important?

To thrive as an Algorithmic Execution Quant, you need a strong background in quantitative analysis, programming (often in Python or C++), and a solid understanding of financial markets, typically supported by an advanced degree in a quantitative discipline. Proficiency with statistical modeling tools, trading platforms, and market data systems, as well as familiarity with technologies like FIX protocol, is crucial. Strong problem-solving ability, attention to detail, and effective communication help you collaborate across trading, research, and technology teams. These skills are essential for designing, optimizing, and maintaining robust trading algorithms that achieve best execution and mitigate risk in fast-moving markets.

What are some common challenges faced by Algorithmic Execution Quants when developing and deploying trading algorithms?

Algorithmic Execution Quants often encounter challenges such as adapting strategies to rapidly changing market conditions, managing latency and slippage, and ensuring compliance with regulatory requirements. They must also balance the need for innovation with the necessity for robust risk controls and system reliability. Collaboration with traders, developers, and risk managers is essential to refine algorithms and ensure they perform optimally in live trading environments.

What does an Algorithmic Execution Quant do?

An Algorithmic Execution Quant is responsible for designing, developing, and optimizing algorithms that execute large financial trades efficiently and at minimal cost. They analyze market microstructure, create models to predict market impact, and work closely with traders and engineers to implement these strategies in real-time trading systems. Their work is essential in minimizing transaction costs and improving trade execution quality for their firm.
What cities near Brighton, MA are hiring for Algorithmic Execution Quant jobs? Cities near Brighton, MA with the most Algorithmic Execution Quant job openings:
Algorithmic Execution Quant jobs near you
Senior Research Scientist

Senior Research Scientist

Whoop

Boston, MA • On-site

$107K - $136K/yr

Full-time

Posted 24 days ago

Job description

RESPONSIBILITIES:
  • Lead end-to-end research projects from hypothesis formulation through analysis, interpretation, and communication
  • Analyze large-scale, longitudinal physiological and behavioral datasets to identify meaningful patterns and insights
  • Develop and evaluate models that characterize individual variability and predict future physiological states
  • Translate research findings into clear, actionable recommendations that inform product direction and algorithm development
  • Collaborate closely with product, engineering, and data science teams to ensure research is interpretable and aligned with real-world use cases
  • Contribute to the design and execution of research programs
  • Produce high-quality scientific outputs, including internal reports, white papers, and peer-reviewed publications
  • Serve as a senior technical leader, providing guidance and mentorship to junior scientists and contributing to raising the bar for scientific rigor across the team.
  • Help define research standards, methodologies, and best practices across the team

QUALIFICATIONS:
  • PhD (or equivalent experience) in a quantitative or health-related field (e.g., Epidemiology, Biostatistics, Biomedical Engineering, Neuroscience, Computer Science, or related disciplines),
  • Strong background in health science, with grounding in public health and clinical concepts, and experience modeling longitudinal or time-series data (e.g., within-person variability in real-world settings)
  • Demonstrated ability to design hypothesis-driven analyses and translate findings into clear conclusions
  • Proficiency in statistical modeling and/or machine learning methods and demonstrated experience using Python or R
  • Significant hands-on experience with advanced modeling techniques for longitudinal/time-series data, such as probabilistic methods, Bayesian inference, and/or causal inference
  • Ability to work across disciplines and communicate effectively with both technical and non-technical stakeholders
  • Experience connecting data analysis to real-world applications (product, wellness, clinical, or operational)
  • Strong written and verbal communication skills
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About Whoop

Sourced by ZipRecruiter

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users (Olympians, Professional Athletes, Fitness Enthusiasts, etc) to perform at a higher level through a deeper understanding of their bodies and daily lives.

Industry

Fitness and sports centers

Company size

501 - 1,000 Employees

Headquarters location

Boston, MA, US

Year founded

2012

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