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Algorithmic Trading Jobs in Boston, MA (NOW HIRING)

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 ...

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 ...

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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 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.
More about Algorithmic Trading jobs
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Algorithmic Trading jobs near you
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.

Principal Engineer - Java Trading Platforms

Starcom Mediavest Group Germany Gmbh

Boston, MA • On-site

$165K - $205K/yr

Full-time

Medical, PTO

Re-posted 20 days ago

Job description

Company Description

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients' businesses through designing the products and services their customers truly value.

Job Description

As a Java Architect, you will oversee the development, design, user interface, technology integration, and site architecture management. You will work with clients while managing technology teams from definition phase through implementation. You will be responsible for designing and scaling microservices that power our real-time execution algorithms, ensuring ultra-low latency, high availability, and strict adherence to risk and regulatory controls.

Qualifications

Technical Leadership

  • Lead and mentor a team of engineers delivering enterprise-scale data solutions
  • Provide hands-on guidance across architecture, design, development, and troubleshooting
  • Drive best practices in coding standards, performance optimization, and system reliability
  • Conduct code reviews and enforce quality and security standards
  • Lead the adoption of Generative AI tools

Platform Development

  • Architecture & Development: Lead the design and implementation of distributed microservices using Java/Spring Boot tailored for high-frequency trading environments.
  • Algorithm Engineering: Collaborate with Quants and Product Managers to translate complex execution strategies into performant, production-ready code.
  • Performance Optimization: Conduct deep-dive performance tuning, GC optimization, and memory management to maintain sub-millisecond execution speeds.
  • Platform Governance: Design and enforce "Safe Trading" protocols, including pre-trade risk checks and automated circuit breakers within the microservices mesh.

Cloud & Infrastructure

  • Architect and deploy solutions in AWS environment
  • Implement scalable, secure, and high-availability solutions

Delivery & Collaboration

  • Partner with Product, Business Analysts, and stakeholders to translate requirements into technical solutions
  • Manage project timelines, deliverables, and resource allocation
  • Ensure alignment with SDLC processes, DevOps practices, and CI/CD pipelines

 

Domain Requirements:

  • Trading Lifecycle: Deep understanding of the full trade lifecycle (Order Management, Execution, Clearing, and Settlement).
  • Execution Algorithms: Proven track record of building or maintaining algorithmic engines and SOR (Smart Order Routing) systems

Technical Qualifications:

  • Java Expertise: Expert-level proficiency in Core Java (v17+ preferred), including advanced multi-threading, concurrency patterns, and the Java Memory Model.
  • Microservices Architecture: Extensive experience with Spring Boot, Spring Cloud, and containerization (Docker/Kubernetes).
  • Messaging & Integration: Hands-on experience with high-performance messaging middleware like Apache Kafka, Solace, or Aeron.
  • Data Systems: Proficiency in low-latency data stores (Redis, Hazelcast) and SQL/NoSQL databases for trade persistence and auditing.
  • Proven experience with AWS Services, Linux/Unix environments
  • Ability to lead technical solution design and architecture discussions
  • Proficiency in using AI pair-programmers and engineering assistants (specifically GitHub Copilot and/or Claude Code) to optimize workflow efficiency and accelerate problem-solving
  • Testing & CI/CD: Commitment to TDD/BDD practices and automated pipeline integration (Jenkins, GitLab CI)
Additional InformationAdditional Information
  • An inclusive workplace that promotes diversity and collaboration.
  • Access to ongoing learning and development opportunities.
  • Competitive compensation and benefits package.
  • Flexibility to support work-life balance.
  • Comprehensive health benefits for you and your family.
  • Generous paid leave and holidays.
  • Wellness program and employee assistance.

Pay Range: $165,000 - $205,000

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicis.sapient.com. 

Your information will be kept confidential according to EEO guidelines.

Employment Type: FULL_TIME

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