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Entry Level Algorithmic Trading Quant Jobs in Seattle, WA

You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy ... quant trading, quant research, financial engineering, or risk modelling). * Strong grasp of ...

You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy ... quant trading, quant research, financial engineering, or risk modelling). * Strong grasp of ...

You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy ... quant trading, quant research, financial engineering, or risk modelling). * Strong grasp of ...

You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy ... quant trading, quant research, financial engineering, or risk modelling). * Strong grasp of ...

You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy ... quant trading, quant research, financial engineering, or risk modelling). * Strong grasp of ...

You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy ... quant trading, quant research, financial engineering, or risk modelling). * Strong grasp of ...

ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading ...

Entry Level Algorithmic Trading Quant information

See Seattle, WA salary details

$59.7K

$135.6K

$223.6K

How much do entry level algorithmic trading quant jobs pay per year?

As of Jun 26, 2026, the average yearly pay for entry level algorithmic trading quant in Seattle, WA is $135,613.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,300.00 and $173,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by entry-level algorithmic trading quants during their first year on the job?

Entry-level algorithmic trading quants often encounter challenges such as adapting to fast-paced environments where quick decision-making and consistent performance are essential. They may need to bridge the gap between academic theory and real-world market behavior, learning to develop, backtest, and refine trading strategies under time constraints. Collaborating with traders, developers, and risk managers is also crucial, requiring strong communication skills to ensure strategies are both technically sound and aligned with business goals. Additionally, staying current with evolving market data and technology platforms is a constant learning curve.

What does an Entry Level Algorithmic Trading Quant do?

An Entry Level Algorithmic Trading Quant is responsible for developing, testing, and implementing mathematical models and computer algorithms to execute trades in financial markets automatically. They analyze large datasets to identify trading opportunities, optimize trading strategies, and manage risks. Typically, they work closely with senior quants, software engineers, and traders to ensure the performance and reliability of trading systems. Their role often includes coding, statistical analysis, and monitoring live trades to ensure algorithms function as intended.

What are the key skills and qualifications needed to thrive as an Entry Level Algorithmic Trading Quant, and why are they important?

To thrive as an Entry Level Algorithmic Trading Quant, you need strong quantitative skills, programming proficiency (often in Python or C++), and at least a bachelor's degree in a technical field such as mathematics, computer science, or engineering. Familiarity with data analysis tools, financial modeling software, and version control systems like Git is typically required, and knowledge of financial markets or certifications like CFA can be beneficial. Analytical thinking, attention to detail, and effective teamwork are crucial soft skills that set high performers apart. These competencies enable quants to develop robust trading strategies, identify market opportunities, and collaborate efficiently in a high-stakes, fast-paced environment.

What is the difference between Entry Level Algorithmic Trading Quant vs Quantitative Research Analyst?

AspectEntry Level Algorithmic Trading QuantQuantitative Research Analyst
Required CredentialsBachelor's in Math, CS, or Finance; programming skillsBachelor's or Master's in Math, Stats, or Finance; programming skills
Work EnvironmentTrading firms, hedge funds, financial institutionsResearch labs, financial firms, asset managers
Employer & Industry UsageHigh-frequency trading, algorithmic trading teamsResearch-focused, model development for investments
Comparison Search IntentYesYes

Entry Level Algorithmic Trading Quants focus on developing trading algorithms used in live markets, often working directly with trading desks. Quantitative Research Analysts primarily conduct research to develop models and strategies that inform investment decisions. While both roles require strong quantitative skills and programming knowledge, the Trading Quant emphasizes implementation in trading environments, whereas the Research Analyst emphasizes model development and analysis.

What are the most commonly searched types of Algorithmic Trading Quant jobs in Seattle, WA? The most popular types of Algorithmic Trading Quant jobs in Seattle, WA are:
What are popular job titles related to Entry Level Algorithmic Trading Quant jobs in Seattle, WA? For Entry Level Algorithmic Trading Quant jobs in Seattle, WA, the most frequently searched job titles are:
Infographic showing various Entry Level Algorithmic Trading Quant job openings in Seattle, WA as of June 2026, with employment types broken down into 50% As Needed, and 50% Full Time. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $135,613 per year, or $65.2 per hour.
Remote Quantitative Analyst (Finance)

Remote Quantitative Analyst (Finance)

Turing

Tacoma, WA โ€ข On-site

$100/hr

Other

Posted 24 days ago


Job description

About Turing

Based in San Francisco, California, Turing is the worldโ€™s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.


Role Overview

Turing is looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required.


What Does Day-to-Day Look Like

  • Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification.
  • Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model construction, and back-testing methodologies.
  • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.


Requirements

  • 2+ years of experience in Quantitative Finance (e.g., quant trading, quant research, financial engineering, or risk modelling).
  • Strong grasp of stochastic calculus, statistical modeling, derivatives pricing theory.
  • Excellent English written communication.


Bonuses (Not at All Necessary)

  • CFA, FRM, CQF, Ph.D. in a quantitative field, or MBA in Finance.


Perks of Freelancing with Turing

  • Work on the cutting edge of AI and finance.
  • Fully remote and flexible work environment.
  • Competitive hourly compensation of ~$100+/hour depending on experience.


Offer Details

  • Commitment: Flexible, 10โ€“30 hrs/week.
  • Duration: ~1 month, with the possibility of extension based on performance and project needs.


After applying, youโ€™ll receive a login link by email. Please complete your profile promptly so we can proceed with your application.


Weโ€™re actively hiring for this role. If you know exceptional talent, please refer them at turing.com/referrals and earn money for successful referrals.