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Algorithmic Trader Jobs in Boston, MA (NOW HIRING)

Databento

Software Engineer (C++/Rust)

Boston, MA · On-site

... trading firm, tech company, or high-growth startup. • Strong proficiency in C/C++ or Rust. • Knowledge of systems programming, algorithms, data structures, multithreading, networked I/O ...

Databento

Software Engineer (C++/Rust)

Boston, MA · On-site +1

An interest in financial data or algorithmic trading. Notice about phishing scams Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official ...

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All JobsAlgorithmic Trader JobsAlgorithmic Trader Jobs in Boston, MA

Algorithmic Trader information

See Boston, MA salary details

$43K

$105.4K

$293.6K

How much do algorithmic trader jobs pay per year?

As of Jul 13, 2026, the average yearly pay for algorithmic trader in Boston, MA is $105,442.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,600.00 and $114,900.00 per year, depending on experience, location, and employer.

How much do algorithmic traders make?

Algorithmic traders typically earn between $80,000 and $200,000 annually, with experienced professionals and those working at hedge funds or proprietary trading firms earning higher salaries and bonuses. Compensation often depends on skill level, trading performance, and the firm's size, with many traders also receiving performance-based incentives.

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 mathematics, statistics, programming (often Python, C++, or R), and a solid understanding of financial markets, usually supported by a relevant degree. Familiarity with trading platforms, backtesting frameworks, and data analysis tools, plus certifications like CFA or FRM, are commonly required. Strong analytical thinking, attention to detail, and the ability to work under pressure are vital soft skills for success in this fast-paced environment. These skills enable traders to develop effective, automated strategies that capitalize on market opportunities while managing risk efficiently.

What are some typical challenges faced by algorithmic traders in their day-to-day work?

Algorithmic traders often encounter challenges such as maintaining and updating trading algorithms to adapt to rapidly changing market conditions, ensuring low-latency execution, and managing the risks associated with automated trading. Collaborating closely with quantitative analysts, software engineers, and risk managers is essential to refine strategies and troubleshoot technical issues. Staying compliant with regulatory requirements and monitoring for unexpected market behaviors or system errors are also important aspects of the role.

What is an algorithmic trader?

An algorithmic trader is a financial professional who uses computer algorithms to automate trading strategies in financial markets. These traders develop, test, and implement mathematical models that analyze market data and execute trades at speeds and frequencies impossible for humans. Algorithmic traders work in environments such as investment banks, hedge funds, and proprietary trading firms, and their goal is often to maximize returns while managing risk. They typically need strong skills in programming, quantitative analysis, and finance.

Is algo trading a good career?

Algorithmic trading is a specialized career that involves developing and implementing automated trading strategies using programming skills and quantitative analysis. It can be financially rewarding and offers opportunities in finance firms and hedge funds, but it requires strong technical knowledge, risk management skills, and continuous learning. Success depends on market conditions, technical proficiency, and the ability to adapt strategies over time.

Who is the richest Algo trader in the world?

The richest algorithmic trader is often considered to be Jim Simons, founder of Renaissance Technologies, a highly successful quantitative hedge fund. His firm employs advanced mathematical models and computer algorithms to generate trading strategies, making him one of the wealthiest individuals in the trading industry. Many top algo traders leverage skills in mathematics, programming, and data analysis to succeed in this field.

Is algo trading really profitable?

Algorithmic traders use automated systems and algorithms to execute trades based on predefined criteria. While successful algo trading can be profitable, it requires advanced programming skills, market knowledge, and risk management; profitability varies depending on strategy, market conditions, and execution quality.

What is the difference between Algorithmic Trader vs Quantitative Analyst?

AspectAlgorithmic TraderQuantitative 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-pacedFinancial institutions, research firms; analytical and research-focused
Employer & Industry UsageUsed primarily in trading and investment firmsUsed in asset management, hedge funds, and investment banks

While both roles require strong quantitative skills and programming knowledge, Algorithmic Traders focus on developing and executing trading algorithms in real-time markets, whereas Quantitative Analysts primarily develop models and strategies for investment decision-making. The roles often overlap but differ mainly in their focus on trading execution versus model development.

What are the most commonly searched types of Algorithmic Trader jobs in Boston, MA? The most popular types of Algorithmic Trader jobs in Boston, MA are:
What are popular job titles related to Algorithmic Trader jobs in Boston, MA? For Algorithmic Trader jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Algorithmic Trader jobs in Boston, MA look for? The top searched job categories for Algorithmic Trader jobs in Boston, MA are:
Algorithmic Trader jobs near you
Infographic showing various Algorithmic Trader job openings in Boston, MA as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 15% Part Time, and 1% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $105,442 per year, or $50.7 per hour.
Quantitative Researcher at HFT Hedge Fund Algorithmic Trading Boston

Quantitative Researcher at HFT Hedge Fund Algorithmic Trading Boston

Domeyard LP

Boston, MA • On-site

Full-time

Re-posted 2 days ago

Job description

Company Description
Domeyard, LP is a quantitative hedge fund startup based in Boston, Massachusetts. We focus on developing low latency technologies to achieve extremely consistent, long-term capital growth enabling us to save millions of dollars for market investors each year. Our trading strategies are derived from the latest advances in high-performance computing and data analysis, making us one of the fastest market participants in the world. Domeyard operates around the clock, trading a diverse range of asset classes, including equities, futures, fixed income instruments, energy products and commodities. Innovation is our main differentiator: on any given day, we process more order messages than Google searches and Twitter messages combined. Our continuous pursuit of improvement to our technology enables us to uncover opportunities that are grossly inaccessible to mainstream fund managers and their investment vehicles. For its notable role in the industry, Domeyard is also the protagonist of Harvard Business School's first case study about high frequency trading.
Job Description
Bonus! Apply through our website: http://grnh.se/83ospm
Bridging Mathematics and Low-Latency Trading
Domeyard is seeking a Quantitative Researcher with significant experience in developing low latency statistical arbitrage or market making strategies. You will be joining the core of a company with a single, monolithic HFT team. The ideal candidate is someone who is intellectually curious and loves solving mathematical problems - you might have considered pursuing an academic career at some point and you are looking at this job posting because you are enticed by the fast feedback loop in our field.
What you'll be doing:
  • Building low latency liquidity taking or market making strategies from end-to-end.
  • Developing mathematical models to solve difficult stochastic problems.
  • Analyzing convergence and boundedness properties of algorithms and estimates.
  • Translating your models to fast computational methods.
  • Collaborating with researchers and developers to implement all of the above.

You must meet both of these minimum requirements:
  • 3+ years work experience in high-frequency trading at a leading hedge fund or proprietary trading firm.
  • Experience with direct responsibility in construction of alpha signals or monetization for latency-sensitive, capacity-constrained strategies.

Qualifications
In addition, here are some of the attributes that we're looking for:
  • History of peer-reviewed publications in optimization, algorithms, statistics, numerical analysis, signal processing, operations research, or a related field.
  • Graduate-level degree in any scientific, mathematical or engineering discipline.
  • Programming experience with C++ in a UNIX-based environment.
  • Experience using data analysis tools in Python or R.
  • Intense passion for solving quantitative problems.
  • Recent track record with low variance in PnL at high % of ADV.
  • Working familiarity with low latency architecture.
  • Knowledge in futures, cash equities or cash FX markets.

Additional Information
***IMPORTANT: Please apply via the link below (takes <5 minutes)***
http://grnh.se/83ospm

Apply