ZipRecruiter

Log In

1

Algorithmic Trading Jobs in Seattle, WA (NOW HIRING)

Databento

Software Engineer (C++/Java)

Seattle, WA · 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 ...

Databento

Software Engineer (C++/C#)

Seattle, WA · 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 ...

Nscale

VP, Financial Services GTM

Seattle, WA

Banks, massive hedge funds, quantitative trading firms, and leading fintechs have a huge, rapidly growing demand for dedicated AI infrastructure to power algorithmic trading, risk modeling, deep ...

Blue Origin

Software Development Engineer Sr

Seattle, WA

$197K - $276K/yr

Validate plant models and algorithm performance using test and flight data * Coordinate cross-team vehicle-level analyses and trade studies * Lead root cause investigations and peer reviews of GN&C ...

next page

Showing results 1-20

All JobsAlgorithmic Trading JobsAlgorithmic Trading Jobs in Seattle, WA

Algorithmic Trading information

See Seattle, WA salary details

$84.8K

$97.6K

$107K

How much do algorithmic trading jobs pay per year?

As of Aug 2, 2026, the average yearly pay for algorithmic trading in Seattle, WA is $97,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,200.00 and $103,600.00 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.

How to become an algorithmic trader?

To become an algorithmic trader, you should develop strong programming skills in languages like Python or C++, gain knowledge of financial markets and trading strategies, and learn to use trading platforms and data analysis tools. A background in mathematics, statistics, or computer science is often essential, and many traders pursue certifications such as the Chartered Market Technician (CMT) or Financial Risk Manager (FRM). Experience with backtesting and risk management is also important for success in this field.

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 in demand in financial firms, but it requires strong technical expertise, continuous learning, and understanding of market regulations. Success in this field depends on technical proficiency, risk management, and staying updated with market trends.

Who is the richest Algo trader in the world?

Algorithmic trading is a specialized finance role involving the use of algorithms and programming skills to execute trades. While individual net worth is often private, some of the most successful algorithmic traders and quant hedge fund managers, such as Jim Simons, have accumulated significant wealth through quantitative strategies and advanced data analysis. These professionals typically work in high-frequency trading firms or hedge funds and require strong mathematical, programming, and financial skills.

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.

Can I make money with algorithmic trading?

Algorithmic trading professionals develop and implement automated trading strategies that can generate profits if the algorithms are well-designed and market conditions are favorable. Success depends on skills in programming, data analysis, and risk management, and consistent profitability is not guaranteed. Many traders experience both gains and losses, and ongoing testing and optimization are essential for potential profitability.

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
What are the most commonly searched types of Algorithmic Trading jobs in Seattle, WA? The most popular types of Algorithmic Trading jobs in Seattle, WA are:
What are popular job titles related to Algorithmic Trading jobs in Seattle, WA? For Algorithmic Trading jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Algorithmic Trading jobs in Seattle, WA look for? The top searched job categories for Algorithmic Trading jobs in Seattle, WA are:
Algorithmic Trading jobs near you
Infographic showing various Algorithmic Trading job openings in Seattle, WA as of July 2026, with employment types broken down into 1% Internship, 83% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $97,584 per year, or $46.9 per hour.

Software Engineer (C++/Java)

Databento

Seattle, WA • On-site, Remote

Full-time

Posted 12 days ago

Job description

The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs.

Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world's leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, Tower Research, PDT Partners, SIG, and other top quantitative firms.

We're looking for a midlevel or senior IC to join our core engineering team. You'll be responsible for implementing and maintaining our Java client library, and also working alongside our core engineering team on the most performance-sensitive parts of our codebase.

Responsibilities
  • Own and maintain our Java client library, ensuring it is robust, well-tested, and easy for external users to integrate with.
  • Design, develop, and maintain high-performance server applications in C/C++.
  • Write message parsers and feed handlers for direct market data feeds from trading venues.
  • Optimize existing codebase for high throughput (millions of messages per second, up to 40+ gigabits) and low latency (measured in nanoseconds).
  • Implement tools and libraries for petabyte-scale data processing and analysis.
  • Collaborate with the systems team to implement best practices for build, deployment, CI/CD.
  • Implement monitoring and improve application uptime.
  • Ensure smooth feature rollouts and updates.
Preferred background
  • 5+ years of full-time software engineering experience, preferably at a trading firm, tech company, or high-growth startup.
  • Strong proficiency in both C/C++ and Java.
  • Experience with C# is a plus.
  • Experience designing APIs with a strong focus on intuitive, developer-friendly interfaces.
  • Familiarity with open source best practices, including release management, versioning, changelogs, issue triage, and backwards compatibility.
  • Knowledge of systems programming, algorithms, data structures, multithreading, networked I/O, serialization, CPU architecture, kernel, and compilers.
  • Experience working with multiprocess environments.
  • Comfortable with lldb/gdb.
  • Good communication skills and work ethic for a remote workplace.
  • An interest in low-level optimization and performance engineering.
  • 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 emails come only from @databento.com or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent.

--

Databento, Inc. provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. In addition to federal law requirements, we comply with applicable state and local laws governing nondiscrimination in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know.

Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn't exactly match the qualifications listed, we still want to hear from you. Please apply!