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Algorithmic Trading Jobs in Boston, MA (NOW HIRING)

Roberts Recruiting

Senior SW (Scala)

Boston, MA

$133K - $175K/yr

FinTech Experience (pricing / transactional systems / algorithmic trading) * Experience with Functional Programming Languages (Scala, haskell) * Server-side Web Application Development (Node.js) * ...

Draper

Senior Navigation Algorithm Engineer

Cambridge, MA · On-site

$82K - $220K/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 ...

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All JobsAlgorithmic Trading JobsAlgorithmic Trading Jobs in Boston, MA

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 Jun 16, 2026, the average yearly pay for algorithmic trading in Boston, MA is $93,153.00, 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.

Is algo trading a good career?

Algorithmic trading is a specialized career that involves developing and implementing automated trading strategies using programming skills, data analysis, and financial knowledge. It can be lucrative and offers opportunities in finance firms, hedge funds, and proprietary trading firms, but it requires strong technical skills, continuous learning, and risk management expertise.

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.

How much do Algo traders make?

Algorithmic traders' salaries vary based on experience, location, and performance, but they typically earn from $80,000 to over $200,000 annually. Successful traders with strong quantitative skills and advanced programming knowledge can earn significantly more through bonuses and profit sharing. Compensation often includes base salary, performance incentives, and benefits, especially in financial firms or hedge funds.

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.

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.

Is algorithmic trading illegal?

Algorithmic trading is legal in most jurisdictions when conducted within regulatory frameworks that require proper registration, compliance, and risk management. Traders and firms must adhere to rules set by financial authorities to prevent market manipulation and ensure fair trading practices.
More about Algorithmic Trading jobs
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Algorithmic Trading jobs near you
Algorithmic Trading Developer at Hedge Fund

Algorithmic Trading Developer at Hedge Fund

Domeyard LP

Boston, MA

Full-time

Medical, Dental

Posted 28 days ago

Job description

Job Description

***IMPORTANT: Please apply via the link below (takes <5 minutes)*** 

http://grnh.se/qid8ne

Domeyard is a start-up hedge fund based in Boston, MA. We deploy capital in a variety of asset classes, through the use of quantitative models and low latency trading strategies. 

Domeyard is expanding its team of developers and researchers. We are a fast-growing company: you will influence the early decisions of the firm and have the opportunity to lead a team of developers within months. Your code will often be deployed to handle substantial risk capital. As a developer, you will often work with cutting-edge libraries and protocols that are poorly-documented, and as a researcher, you will often perform self-directed research. Feel free to show us any work that demonstrates your day-to-day interest in coding / science - we would love to see your academic publications, GitHub projects or StackOverflow answers. No financial experience is required. 

Our firm has a flat structure and a casual dress code, and your starting salary will be no less than those of the founders. You will enjoy both the perks of joining a hedge fund partnership as well as those of a startup founding team. You will have the opportunity to travel and meet industry leaders, and will receive health and dental coverage. We welcome cultural diversity and are able to sponsor H1-B visas. 

***IMPORTANT: Please apply via the link below (takes <5 minutes)*** 

http://grnh.se/qid8ne

Qualifications

Responsibilities:

Implementing software for low latency trading.

Designing message-oriented middleware and internal APIs to publish-subscribe platforms and

databases.

Integrating external protocols and APIs with our infrastructure.

Identifying and managing performance bottlenecks.

Developing tools (e.g. numerical libraries, GUIs) to improve research productivity.

Preferred qualities:

Background in computer science, physics, mathematics, or a related engineering discipline. Proficiency with C/C++ in a UNIX environment.

Experience with low-level optimization (e.g. memory hierarchy, instruction set architectures,

lock-free algorithms, bus overheads, profiling) and multi-core parallelism.

Knowledge of operating system internals (e.g. network stack, timers, scheduling, interrupt

handling, virtual memory, file systems) and kernel source. Elegant coding style and good taste in API design.

Additional Information

***IMPORTANT: Please apply via the link below (takes <5 minutes)*** 

http://grnh.se/qid8ne

Apply