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Algorithmic Trading Jobs in Massachusetts (NOW HIRING)

Draper

Senior Navigation Algorithm Engineer

Cambridge, MA · On-site

$75K - $245K/yr

... trades to support a design. • Designs algorithms using modern theory and proven techniques. • Develops embedded software based on prototype algorithms. • Analyzes designs to demonstrate ...

Draper

Senior Navigation Algorithm Engineer

Cambridge, MA · On-site +1

$75K - $245K/yr

... trades to support a design. Designs algorithms using modern theory and proven techniques. Develops embedded software based on prototype algorithms. Analyzes designs to demonstrate performance and ...

Bose Corporation, U.S.A

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 ...

Bose Corporation

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 ...

Boseallaboutme

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 ...

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All JobsAlgorithmic Trading JobsAlgorithmic Trading Jobs in Massachusetts

Algorithmic Trading information

See Massachusetts salary details

$81.4K

$93.6K

$102.7K

How much do algorithmic trading jobs pay per year?

As of Sep 15, 2026, the average yearly pay for algorithmic trading in Massachusetts is $93,649.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $99,400.00 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 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 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.

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.

More about Algorithmic Trading jobs

What are the most commonly searched types of Algorithmic Trading jobs in Massachusetts?

The most popular types of Algorithmic Trading jobs in Massachusetts are:

What are popular job titles related to Algorithmic Trading jobs in Massachusetts?

For Algorithmic Trading jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Algorithmic Trading jobs in Massachusetts look for?

The top searched job categories for Algorithmic Trading jobs in Massachusetts are:

What cities in Massachusetts are hiring for Algorithmic Trading jobs?

Cities in Massachusetts with the most Algorithmic Trading job openings:

Algorithmic Trading jobs near you
Infographic showing various Algorithmic Trading job openings in Massachusetts as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 9% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $93,649 per year, or $45 per hour.

Quantic - Quantitative Developer Intern (Summer 2027)

Boston, MA • On-site

Walleye Capital Internships
See more jobs at Walleye Capital Internshipsexternal

$20K/mo

Temporary, Internship

Re-posted 15 days ago

Job description

Position: Quantic - Quantitative Developer Intern (Summer 2027)
Location: Boston, MA
Firm Overview:
Walleye Capital is a ~$17 billion+ multi-strategy investment firm headquartered in New York City, with over 350 employees across five main offices. Founded in 2005 as an options market maker, we have organically grown into a global investment firm specializing in Quant, Fundamental Equities, and Volatility strategies.
Our Team Overview:
Walleye Capital is seeking highly technical and analytically-minded Quantitative Developer Interns to work in the rapidly growing Quantic team based out of Boston. Quantic is Walleye's principal quantitative investment business, established in 2016 as one of its core investment strategies. Quantic has subsequently evolved into one of the most successful trading teams in the industry.
We are a tight-knit, collaborative, and intellectually rigorous group of scientists, engineers, and traders leveraging advanced statistical modeling techniques to identify and capitalize on profitable trading opportunities in global equities, options, and futures. What sets Quantic apart is our pragmatic, engineering-driven culture, where achieving goals-and achieving them the right way-takes precedence. We foster collaboration among colleagues, confident that the best ideas arise through cross-disciplinary exchange. Our commitment to continuous self-reflection and growth drives us to build the strongest possible platform for our team's future success. We are seeking talented developers to help elevate our capabilities and join us on this journey.
This role offers the opportunity to engage directly with cutting-edge data analysis, portfolio optimization, platform development, and operation of fully automated trading systems. You will join a team where your creativity, initiative, and teamwork will make direct impacts on trading profits for our investors. We invite developers with a proven record of innovation and achievement in their fields to apply.
Position Overview:
As a Quantic Intern, you'll work directly with experienced team members on meaningful projects that impact trading strategies and operations. You'll have the opportunity to work on high-impact initiatives and develop your skills in a dynamic setting where innovation, teamwork, and talent drive success.
We are seeking students with strong technical backgrounds (e.g., mathematics, statistics, computer science, or engineering), demonstrated initiative, and an interest in quantitative trading and research. Successful interns are curious, collaborative, and eager to tackle complex problems in a fast-paced, supportive environment.
The internship is 10 weeks in length and will take place in Boston from June to August 2027.
Responsibilities:
  • Develop and deploy quantitative infrastructure supporting alpha generation, portfolio construction, and algorithmic trading.
  • Design and manage data pipelines; triage data integrity quality - improving reliability, consistency, and traceability of financial datasets.
  • Partner with traders and researchers to develop and iterate on proprietary trading strategies and alphas.
  • Build reporting and analysis tools for strategy risk, trade cost and execution using data from a proprietary columnar database.
  • Utilize coding skills and leverage AI tools to oversee and improve automated trading systems.

We seek individuals who:
  • Are pursuing an undergraduate or advanced degree in computer science, engineering, statistics, mathematics, or a related field, with an expected graduation date between December 2027 and June 2028.
  • Exhibit strong quantitative and analytical skills, including proficiency in a scripting language (Python/BasH/Perl) and experience in UNIX/Linux/BSD environments.
  • Demonstrate familiarity with popular machine learning/deep learning/statistical packages (such as scikit-learn, TensorFlow, PyTorch, etc.).
  • Are self-starters who enjoy digging into complex, open-ended problems and can work both independently and collaboratively with a team.
  • Exhibit a genuine interest in financial markets, systematic investing, AI/LLM application, and using technology in dynamic, data-rich environments.
  • Showcase creativity and enthusiasm for leveraging AI tools to enhance productivity, improve processes, and generate investment alpha.
  • Thrive in a collaborative culture that values intellectual humility, creativity, and continuous learning.

Pay Range:
The expected monthly pay for this position is $20,000/month. Interns will also receive a $25,000 sign-on bonus and transportation to and from Boston (domestic travel only).
For questions about the process, please review our Campus FAQs.
Walleye is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.
If you require a reasonable accommodation to participate in any part of our hiring process, please contact HR@walleyecapital.com.
Personal data you provide will be processed in accordance with Walleye Capital LLC's Privacy Notice available at: https://www.walleyecapital.com/.

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