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Algorithmic Trading Jobs in Boston, MA (NOW HIRING)

Senior Systems Engineer

Framingham, MA · On-site

$107K - $147K/yr

... algorithms, embedded systems, acoustics, cloud-connected experiences, and mobile applications. * Use model-based and analytical approaches to evaluate alternatives, guide trade-off decisions, and ...

Senior Systems Engineer

Framingham, MA

$107K - $147K/yr

... algorithms, embedded systems, acoustics, cloud-connected experiences, and mobile applications. * Use model-based and analytical approaches to evaluate alternatives, guide trade-off decisions, and ...

Showing results 41-60

Algorithmic Trading information

See Boston, MA salary details

$80.9K

$93.2K

$102.1K

How much do algorithmic trading jobs pay per year?

As of Aug 11, 2026, the average yearly pay for algorithmic trading in Boston, MA is $93,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $98,900.00 per year, depending on experience, location, and employer.

What is algorithmic trading?

Algorithmic trading involves trading in equities, currencies, or other financial instruments using computer programs. A trading program uses an algorithm to calculate current market conditions. This trading method is automated, so the program buys or sells the financial instrument when the algorithm says that the market meets all the requirements for a profitable trade. To create an algorithm, you perform mathematical and statistical analysis, also known as quantitative analysis, on an exchange or equity. After creating an algorithm with defined trading rules, you test it using historical market data. While this is primarily a technical field, you also need an understanding of the market.

What is algorithmic trading?

Algorithmic trading refers to the use of computer programs and algorithms to automatically execute trading orders in financial markets. These algorithms follow predefined rules based on factors like price, timing, and volume to optimize trading strategies and reduce human intervention. Algorithmic trading is widely used by institutional investors, hedge funds, and individual traders to increase efficiency, minimize costs, and capitalize on market opportunities. It can range from simple rule-based systems to complex strategies involving machine learning and artificial intelligence.

What is the difference between Algorithmic Trading vs Quantitative Analyst?

AspectAlgorithmic TradingQuantitative Analyst
Required CredentialsDegree in finance, computer science, or related field; programming skillsDegree in mathematics, statistics, or finance; strong analytical skills
Work EnvironmentTrading firms, hedge funds, financial institutions; fast-pacedInvestment banks, asset management firms; research-focused
Employer & Industry UsageUsed to automate trading strategiesDevelops models to inform trading decisions

While both roles involve quantitative skills and finance knowledge, Algorithmic Traders focus on implementing automated trading systems, whereas Quantitative Analysts develop models and strategies that may be used by traders or firms. The roles often overlap but differ mainly in their primary focus: execution versus modeling.

What are the main challenges faced by professionals in algorithmic trading, and how can they be addressed?

Professionals in algorithmic trading often encounter challenges such as developing strategies that remain effective in rapidly changing markets, minimizing latency for faster execution, and managing the risks associated with automated trading systems. To address these challenges, it's essential to stay updated with the latest market trends and technological advancements, conduct rigorous backtesting of algorithms, and implement robust risk management protocols. Collaboration with quantitative analysts, software engineers, and risk managers is also key to ensuring strategies are both innovative and resilient.

Do algorithmic traders make money?

Algorithmic traders can make money by developing and implementing automated trading strategies that exploit market opportunities. Success depends on skills in programming, quantitative analysis, and risk management, and profitability varies based on strategy performance and market conditions. Not all algorithmic traders are profitable, and many face significant competition and operational costs.

What are the key skills and qualifications needed to thrive as an algorithmic trader, and why are they important?

To thrive as an Algorithmic Trader, you need a strong background in quantitative analysis, programming (often Python, C++, or Java), and a solid understanding of financial markets, typically supported by a degree in mathematics, engineering, finance, or computer science. Familiarity with statistical modeling tools, trading platforms, and backtesting systems is essential, and certifications such as CFA or FRM can be advantageous. Superior problem-solving skills, attention to detail, and the ability to work under pressure set standout professionals apart in this field. These skills are crucial to developing, implementing, and refining trading strategies that can operate profitably and reliably in fast-moving financial environments.
What are the most commonly searched types of Algorithmic Trading jobs in Boston, MA? The most popular types of Algorithmic Trading jobs in Boston, MA are:
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What job categories do people searching Algorithmic Trading jobs in Boston, MA look for? The top searched job categories for Algorithmic Trading jobs in Boston, MA are:
Infographic showing various Algorithmic Trading job openings in Boston, MA as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 84% Physical, 7% Hybrid, and 9% Remote job distribution, with an average salary of $93,158 per year, or $44.8 per hour.

Senior Systems Engineer

Bose Corporation

Framingham, MA • On-site

$107K - $147K/yr

Full-time

Medical, Retirement

Re-posted 9 days ago


Job description

At Bose Corporation, we believe sound is the most powerful force on earth - and for over 60 years, we have been a company built on innovation, excellence, and independence. Privately owned, fiercely customer-focused, and driven by our values, we continue to lead industries and transform lives through sound.
Today, Bose Corporation is entering an exciting new era. Across multiple global Business Units and Global Functions, we are shaping the future of audio technology, automotive, luxury, and premium experiences. We invite you to join us in this transformation.
Job Description
About the Team
Bose is known for innovative, high-performance audio systems and is expanding its reach through exceptional products and technology licensing. Our technologies power experiences in consumer and automotive applications around the world.
Join our Global Research & Development organization to help shape the next generation of audio experiences. Our teams explore new technologies, use cases, user interactions, and early concepts, then translate them into clear system requirements, scalable architectures, advanced algorithms, and tuning approaches that deliver exceptional audio experiences.
About the Role
We are seeking a Systems Engineer to join Bose Audio Lab in a highly visible technical leadership role. You will:
  • Assist in shaping platform strategy, define system architecture, and guide cross-functional teams in delivering advanced audio and sound management solutions that span across embedded systems, AI/ML algorithms, mobile applications, cloud services, and third-party software integrations for consumer, and automotive products.
  • Lead platform and system requirements for advanced audio and sound management capabilities across consumer, and automotive platforms from cradle to grave.
  • Partner with Architects and leads from various engineering disciplines to translate technical strategy into clear system requirements.
  • Champion end-to-end systems engineering activities, including integrating stakeholder needs, requirements definition, architecture development, trade studies, risk analysis, verification, and validation.
  • Identify opportunities for platform reuse, architectural commonality, and clear variation points to support scalable product line engineering.
  • Influence software and hardware design decisions by applying systems thinking across DSP and AI/ML algorithms, embedded systems, acoustics, cloud-connected experiences, and mobile applications.
  • Use model-based and analytical approaches to evaluate alternatives, guide trade-off decisions, and maintain traceability across stakeholder needs, requirements, architecture, and verification intent.
  • Support critical architectural decisions, including make-versus-buy choices, reuse strategy, and technology selection, with clear rationale tied to business and product goals.
  • Partner across teams to identify and mitigate technical, safety, cybersecurity, and compliance risks early in development.
  • Stay current with emerging technologies and industry trends and help turn innovation into differentiated product experiences.
  • This is an ideal opportunity for a systems thinker to influence the future of audio, shape foundational platform decisions, and work with cross-functional teams to deliver technologies that delight customers around the world.

About You
Minimum Qualifications:
  • Bachelor's or Master's degree in Engineering (Systems, Electrical, Software, Acoustics, DSP, Audio Engineering), or a related field.
  • 8+ years of experience leading complex platforms from concept through launch, with substantial experience in systems engineering, systems architecture, or related technical leadership roles.
  • Deep expertise in at least two relevant technical domains, with working knowledge across others such as DSP algorithms, acoustics, analog and digital electronics, sensors, AI/ML, embedded systems and firmware, cloud engineering, data analysis, and mobile applications.
  • Experience defining system architectures, managing technical trade-offs, and maintaining traceability across needs, requirements, architecture, and verification.
  • Strong understanding of ecosystem, platform, and system-of-systems relationships in complex platforms as well as requirements development, system decomposition, and verification/validation.
  • Excellent communication, collaboration, and influence skills to build alignment across disciplines and organizational levels.
  • Strong problem-solving skills, sound engineering judgment, and navigate ambiguity, conflicting requirements, and complex decisions.

Preferred Qualifications:
  • INCOSE ASE/CSEP certification or equivalent experience applying systems engineering first principles and best practices.
  • Experience in consumer audio, automotive audio, wearables, or other complex embedded product domains.
  • Experience using model-based systems engineering (MBSE) approaches to support architecture development and trade studies.
  • Experience working in Agile environments and leading cross-functional teams.
  • Experience driving organizational change, engineering transformation, or adoption of new processes and tools.
  • Comfort using modern engineering productivity tools, including AI-assisted tools, to improve efficiency and learning speed.

At Bose, you're inspired to be and do your best and are rewarded for your unique talents! Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary. The hiring range for this position in the primary work location of Framingham, Massachusetts is: $133,000-$182,950.The hiring range for other Bose work locations may vary.In addition to competitive base pay we offer rewards including bonus programs, comprehensive health and welfare benefits, a 401(k) plan, plus exclusive perks designed to support your wellbeing, and a generous employee discount where you can immerse yourself in our products and experiences. We are a proudly independent company-driven by purpose, guided by our values, and united by a belief in the power of sound. As the world leader in audio experiences, we're creating what's next-pushing boundaries and delivering transformative sound experiences for people everywhere. Join us and make your next career move a mic-drop. Let's Make Waves.
Bose is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status, or any other legally protected characteristics. The EEOC's "Know Your Rights: Workplace discrimination is illegal" Poster is available here: https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf. Bose is committed to providing reasonable accommodations to individuals with disabilities. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to applicant_disability_accommodationrequest@bose.com. Please include "Application Accommodation Request" in the subject of the email.
Our goal is to create an atmosphere where every candidate feels supported and empowered in the interviewing process. Diversity and inclusion are integral to our success, and we believe that providing reasonable accommodation is not only a legal obligation but also a fundamental aspect of our commitment to being an employer of choice. We recognize that individuals may have different needs and requirements based on their abilities, and we provide reasonable accommodations to ensure ideal conditions are met during the application process.