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Quantitative Trading Jobs in Renton, WA (NOW HIRING)

You will be trained in all aspects of systematic trading from idea generation all the way to ... Conduct original quantitative alpha signal research * Follow, digest and analyze the latest ...

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 ...

... systematic trading. JOB RESPONSIBILITIES * Pre-process (validate, clean, normalize, reduce ... MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative ...

About the Team Fanatics TCG is a new Seattle-based trading card game studio within the Fanatics ... Synthesize qualitative and quantitative inputs - player research, retailer data, market trends ...

They are seeking an Applied Scientist to tackle complex quantitative challenges related to pricing ... product trade-offs • Partner with Engineering, Product, and Operations to turn models into ...

Business Strategist

Seattle, WA · On-site

$123K - $154K/yr

About the Team Fanatics TCG is a new Seattle-based trading card game studio within the Fanatics ... Synthesize qualitative and quantitative inputs - player research, retailer data, market trends ...

Applied Scientist- Pricing

Seattle, WA · On-site

$156K - $335K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role We're looking for an Applied Scientist to work on some of the hardest quantitative ... trade-offs * Partner with Engineering, Product, and Operations to turn models into systems that ...

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Showing results 1-20

Quantitative Trading information

See Renton, WA salary details

$110.2K

$190.9K

$291.9K

How much do quantitative trading jobs pay per year?

As of Aug 16, 2026, the average yearly pay for quantitative trading in Renton, WA is $190,915.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,300.00 and $223,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a quantitative trader, and why are they important?

To thrive as a Quantitative Trader, you need a strong background in mathematics, statistics, and financial theory, typically supported by a degree in a quantitative field such as mathematics, physics, computer science, or engineering. Expertise in programming languages like Python, C++, and R, as well as familiarity with trading platforms and statistical analysis tools, is essential. Critical thinking, attention to detail, and the ability to work under pressure are standout soft skills in this role. These skills are crucial for developing, testing, and executing profitable trading strategies in fast-moving financial markets.

What is the difference between Quantitative Trading vs Quantitative Research?

AspectQuantitative TradingQuantitative Research
Primary FocusDeveloping and executing trading strategies to generate profitsCreating models and theories to understand markets and inform trading
Work EnvironmentFast-paced, real-time decision making in trading firms or hedge fundsResearch-oriented, often academic or laboratory setting
Required CredentialsStrong quantitative skills, programming, finance knowledge; often degrees in math, finance, or engineeringAdvanced degrees (Masters/PhD) in math, physics, or related fields; research experience

Quantitative Trading focuses on applying quantitative models to make trading decisions and generate profits in real-time markets. Quantitative Research emphasizes developing and testing models to understand market behavior, often serving as a foundation for trading strategies. While both roles require strong quantitative skills and programming, trading roles are more execution-focused, whereas research roles are more theoretical and exploratory.

What is quantitative trading?

Quantitative trading refers to the use of mathematical models, algorithms, and statistical techniques to identify and execute trading opportunities in financial markets. Quantitative traders, often called 'quants,' analyze large datasets to develop strategies that can be automated for buying and selling securities. This approach relies heavily on computer programming, data analysis, and financial theory to make systematic, data-driven trading decisions. Quantitative trading is commonly used by hedge funds, investment banks, and proprietary trading firms to gain an edge in the markets.

How does a quantitative trader typically collaborate with software engineers and data scientists within a trading firm?

Quantitative traders work closely with software engineers and data scientists to develop, test, and optimize trading algorithms. Traders often define the strategy and specify the data requirements, while engineers build and maintain the trading infrastructure, and data scientists assist with advanced statistical analysis and machine learning models. Effective communication and a collaborative approach are crucial, as these teams must integrate their expertise to ensure strategies are both profitable and technically robust. Regular meetings, code reviews, and joint problem-solving sessions are common practices in this collaborative environment.

What are popular job titles related to Quantitative Trading jobs in Renton, WA?

For Quantitative Trading jobs in Renton, WA, the most frequently searched job titles are:

What cities near Renton, WA are hiring for Quantitative Trading jobs?

Cities near Renton, WA with the most Quantitative Trading job openings:

Infographic showing various Quantitative Trading job openings in Renton, WA as of August 2026, with employment types broken down into 82% Full Time, 16% Part Time, and 2% Contract. Highlights an 72% Physical, 7% Hybrid, and 21% Remote job distribution, with an average salary of $190,915 per year, or $91.8 per hour.

Trading Systems Engineer

Hudson River Trading

Seattle, WA • On-site

Full-time

Re-posted 24 days ago


Job description

Job Summary:
Hudson River Trading (HRT) is seeking a Trading Systems Engineer to join their Trading Systems Infrastructure team. The role focuses on designing, building, and maintaining the infrastructure for global trading, ensuring optimal performance and uptime of critical systems.
Responsibilities:
• Design, manage, automate, and optimize worldwide Linux-based trading infrastructure by planning and executing complex technical projects and tasks
• Troubleshoot hardware and software issues across the stack
• Design and implement system installations and upgrades
• Deploy, configure, and test internal and external applications
• Remain unfazed by production-critical issues, resolving them quickly and efficiently
• Benchmark and tune the performance of the trading stack
• Hold vendors accountable on performance and reliability issues, with the ability to confidently go toe-to-toe with a vendor's Tier 2 engineering team during an escalation
• Join an on-call rotation schedule to cover trading hours and weekend shifts, as needed
Qualifications:
Required:
• 7+ years of relevant experience supporting a live production environment (especially trading)
• Expert in installing, configuring, and troubleshooting Linux systems, from hardware and networking to kernel to applications
• Advanced programming experience focusing on automation and integration; Python is strongly preferred
• Advanced shell (bash) scripting experience
• Significant experience managing and debugging production trading services
• Strong cross-functional communication and organization skills
• Proven ability to manage assigned projects efficiently, ideally using JIRA
Preferred:
• Knowledge of Debian/Ubuntu is desirable
• Proficiency with configuration management tools, particularly SaltStack – strong knowledge of Puppet, Ansible, Chef, or CFEngine is also desirable
• Architect-level cloud experience in AWS or GCP is desirable, but not required
Company:
Hudson River Trading opertes as a multi-asset class quantitative trading firm. Founded in 2002, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.