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Algorithmic Trading Jobs in Seattle, WA (NOW HIRING)

SoFi

Senior Mobile Engineer, Invest

Seattle, WA · On-site +1

$151K - $190K/yr

Next we are redefining how members grow their wealth through algorithmic trading and AI. You will build the interfaces that millions of our members use to build and invest in automated trading ...

Kapta Space

Senior Radar Algorithms Engineer

Seattle, WA · On-site

... trade-studies to support decision making * Are able to generate test plans and methods to validate ... Experience in architecting DSP algorithms and data systems * Experience with MATLAB, Octave, Python ...

Kapta Space

Senior Radar Algorithms Engineer

Seattle, WA · On-site

... trade-studies to support decision making * Are able to generate test plans and methods to validate ... Experience in architecting DSP algorithms and data systems * Experience with MATLAB, Octave, Python ...

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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 Jun 17, 2026, the average yearly pay for algorithmic trading in Seattle, WA is $97,585.00, 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.

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.
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Algorithmic Trading jobs near you
Senior Mobile Engineer, Invest

Senior Mobile Engineer, Invest

SoFi

Seattle, WA • On-site, Remote

$151K - $190K/yr

Other

Posted 10 days ago

Job description

The Role

We are seeking a Senior Frontend Mobile Engineer to join our team. SoFi Invest is SoFi's new investment platform that includes our market-leading robo-advisor, and online brokerage (stock, ETF, and mutual funds trading) products.

On our team, you will be in the middle of it all - implementing functionality, architecting our system, squashing bugs, maintaining the health of our code, and continually growing as an engineer. The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker. At SoFi, we pride ourselves on the collaboration between Product, Design and Engineering and so you will be involved in the entire product lifecycle, from ideation through building, deploying and continual improvement and evolution.

At SoFi, you'll become part of a new kind of finance company whose ambition is to help our members achieve financial independence and reach their goals. We aim to be at the center of our members' financial lives, and to help every member get their money right. We created student loan refinancing, addressing the biggest financial challenge of a new generation through a modern approach to lending and personal finance. Next we are redefining how members grow their wealth through algorithmic trading and AI. You will build the interfaces that millions of our members use to build and invest in automated trading strategies - bringing "quant-grade" tools to the everyday investor. SoFi has achieved significant growth, with ambitious plans ahead, but to continue this growth we need great talent. And that starts with you.

Key Responsibilities

  • Produce well-designed, scalable, and reusable code on schedule
  • Independently design and build large features, breaking work into subtasks where necessary
  • Maintain a high bar in code and design reviews, following modern mobile development practices
  • Drive communication across the development team and with other stakeholders
  • Collaborate across functions and teams to reduce ambiguity and keep projects on track
  • Track project performance against defined milestones/goals
  • Mentor junior engineers throughout the organization
  • Create and improve technical documentation

Requirements

  • Bachelor's degree (ideally in a technical field), but we understand great engineers come from a variety of backgrounds; we will also consider relevant work experience
  • 5+ years mobile programming experience (Flutter strongly preferred)
  • Familiarity with Agile-based project development in a microservices environment
  • Experience with designing and consuming backend APIs for mobile applications
  • Test-driven development skills
  • Passion for solving complex problems
  • Strong sense of responsibility; driving a project from inception to completion
  • Affinity for solving problems and shipping impactful features, not polishing perfect code or architecture
  • Experience working in a collaborative coding environment (and git specifically), refining designs together, working through code reviews and managing pull requests
  • Able to design and build modern and highly-responsive customer-facing components
  • Nice to have: experience working in Fintech and/or financial services sector

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