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Algorithmic Trading Jobs in Seattle, WA (NOW HIRING)

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 ...

Blue Origin

Software Development Engineer Sr

Seattle, WA · On-site

$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 ...

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 ...

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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 Jul 12, 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.

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.
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Algorithmic Trading jobs near you

Senior Radar Algorithms Engineer

Kapta Space

Seattle, WA

Full-time

Re-posted 7 days ago

Job description

Kapta Space, a VC-funded early-stage startup in Seattle, WA, is breaking new ground in Geospatial Intelligence.  Our technology centers around a proven, scalable electronically-steered radar for sophisticated spaceborne applications such as earth observation using synthetic aperture radar (SAR) techniques, as well as enabling advanced defense missions such as target tracking on the ground and in the air.

Kapta Space is seeking a Senior Radar Algorithms Engineer to lead the development of our radar algorithm development. This role owns everything from signal digitization to data analytics and requires a strong, self-driven engineer capable of working independently in a fast-paced, multi-disciplinary environment.
You Are the Right Fit for the Role at Kapta Space If:
  • You are open to working with a multi-disciplinary team in creating radar system and algorithm requirements
  • You are able to architect, design, simulate, and implement radar algorithms: digital signal processing, SAR image formation, and target detection and tracking using both classical and machine learning techniques
  • Are ready to take ownership of radar system rotational algorithms from satellite Pose estimations
  • Ready to assist in Hardware-aware optimizations of algorithms targeting FPGAs, Embedded Processors, Edge Compute, and ground-based servers
  • Can evaluate implementation/maintenance complexity and resource requirements (compute, memory, power), to produce trade-studies to support decision making
  • Are able to generate test plans and methods to validate radar algorithms on hardware platforms so that they meet end-user needs/expectations
  • You are willing to assist in recruiting, interviewing, and hiring additional teammates to our rapidly growing team here at Kapta Space
Requirements of the Role:
  • BS, MS, or PhD degree in engineering, computer science, or physics
  • 10+ years of experience in sensor algorithm development (ideally radar) and statistics
  • Experience in architecting DSP algorithms and data systems
  • Experience with MATLAB, Octave, Python, or similar
  • Comfortable with Git, CI, Code Reviews, and Version Control and organized enough to be productive in a lean startup environment
  • Experience in signal/image processing, state estimation, and radar data processing techniques
  • Experience with SAR image formation (including Stripmap, Spotlight, scanSAR, TOPSAR, and InSAR)
  • Eligible to obtain and maintain an active U.S. Top Secret/SCI security clearance
Bonus if candidates have experience and skills in the following areas:
  • Pulse-Doppler radar with systems based on multiple phase centers
  • CFAR, Kalman Filtering, Target Indication and Tracking (both ground and air)
  • Deep/Machine Learning for Detection/Classification/Segmentation
  • Familiarity with orbital kinematics, satellite pose estimation, and coordinate transformations
  • C/C++ or Rust
  • VHDL or Verilog
  • An active or previously held US Government TS/SCI security clearance is considered a strong plus
 
Concerned you do not meet all the requirements? Not a problem - please apply even if you do not meet all these criteria.
U.S. Citizenship, Lawful Permanent Residency, or Refugee/Asylee Status Required
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Kapta Employees must be U.S. citizens, lawful U.S. permanent residents (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State or Commerce as applicable.

Kapta Space is committed to a diverse and inclusive workplace. We believe that diversity drives innovation, strengthens our team, and broadens our capabilities. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. We welcome applicants from all backgrounds and encourage individuals from underrepresented groups to apply.

Kapta Space does not engage with external recruiters or agencies without prior written agreement. If you are a recruiter (individual or agency) and wish to engage with Kapta Space for talent acquisition, please email hr@kaptaspace.com.

We may use artificial intelligence (AI) tools to assist our recruitment team but do not replace human judgment. All final hiring decisions are made by humans.