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Algorithmic Trading Quant Jobs in Seattle, WA (NOW HIRING)

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 ...

... other top quantitative firms. We're looking for a midlevel or senior IC to join our core ... An interest in financial data or algorithmic trading. Notice about phishing scams Be cautious of ...

... other top quantitative firms. We're looking for a midlevel or senior IC to join our core ... An interest in financial data or algorithmic trading. Notice about phishing scams Be cautious of ...

... quantitative field such as Computer Science, Engineering, Math, Statistics, etc. 2. Many years of ... algorithmic engineering, or machine learning 3. 3+ years of experience in managing and mentoring ...

Algorithmic Trading Quant information

See Seattle, WA salary details

$59.7K

$135.6K

$223.6K

How much do algorithmic trading quant jobs pay per year?

As of Jul 24, 2026, the average yearly pay for 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.

Is it hard to get a job as a quant trader?

Securing a job as an algorithmic trading quant is competitive and typically requires strong quantitative skills, programming expertise, and relevant experience or advanced degrees in fields like mathematics, physics, or computer science. Candidates often need to demonstrate proficiency in programming languages such as Python or C++, and familiarity with financial markets and trading strategies is advantageous.

What are the key skills and qualifications needed to thrive in the Algorithmic Trading Quant position, and why are they important?

To thrive as an Algorithmic Trading Quant, you need strong quantitative analysis skills, advanced knowledge in mathematics or statistics, and a degree in a related STEM field. Expertise in programming languages such as Python, C++, or R, along with experience using statistical modeling tools and financial data platforms, is often required. Excellent problem-solving abilities, attention to detail, and effective communication are valuable soft skills for this role. These competencies are critical for developing robust trading algorithms, collaborating with cross-functional teams, and maintaining a competitive edge in fast-paced financial markets.

What does an Algorithmic Trading Quant do?

An Algorithmic Trading Quant designs, develops, and optimizes mathematical models and algorithms for automated trading strategies. They analyze market data, identify patterns, and leverage statistical and machine learning techniques to make high-frequency or systematic trading decisions. These professionals work closely with traders and software engineers to enhance execution efficiency and manage risk. Strong programming skills, quantitative analysis, and financial market knowledge are essential for success in this role.

What does a typical day look like for an Algorithmic Trading Quant?

A typical day for an Algorithmic Trading Quant involves designing and back-testing new trading strategies, analyzing large volumes of financial data, and refining algorithmic models for optimal performance. You’ll collaborate closely with traders, software engineers, and risk managers to implement strategies in live markets and address real-time trading challenges. Regular tasks also include monitoring algorithmic performance, troubleshooting issues, and staying updated on market trends. The environment is highly dynamic, requiring adaptability, continuous learning, and strong teamwork to achieve trading objectives.

What is a quant trader's salary?

A quant trader's salary typically ranges from $100,000 to over $300,000 annually, depending on experience, location, and firm size. Compensation often includes bonuses tied to performance, and strong programming skills in languages like Python or C++ are highly valued in this role.

Do quants do algorithmic trading?

Quantitative analysts, or quants, often develop and implement algorithmic trading strategies as part of their role. They use mathematical models, programming skills, and data analysis to automate trading decisions in financial markets.

Is algo trading a good career?

Algorithmic trading is a specialized field within finance that involves developing and implementing automated trading strategies using programming skills and quantitative analysis. It offers high earning potential and demand for technical expertise but requires strong knowledge of markets, programming languages like Python or C++, and risk management. Success in this career depends on continuous learning and staying updated with market trends and technology advancements.
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 Algorithmic Trading Quant jobs in Seattle, WA? For Algorithmic Trading Quant jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Algorithmic Trading Quant jobs in Seattle, WA look for? The top searched job categories for Algorithmic Trading Quant jobs in Seattle, WA are:
Infographic showing various Algorithmic Trading Quant job openings in Seattle, WA as of July 2026, with employment types broken down into 1% Internship, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $135,613 per year, or $65.2 per hour.

VP, Financial Services

Nscale

Seattle, WA • On-site

Other

Posted 3 days ago


Job description

About the role:Financial Services represents a highly lucrative, performance-obsessed market. 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 quantitative analysis, and generative AI integrations. We need a proven leader to come in, build the blueprint, and flawlessly execute this GTM motion. You will own the complete strategy and execution for bringing Nscale's high-density, low-latency infrastructure to these elite financial institutions. This is an incredibly complex market; you will author our compliance narrative, build sophisticated ROI models tailored specifically to the unique needs of trading desks, and personally close the initial mega-deals. Once you have cracked the code and established the playbook for selling into these heavily regulated environments, you will hire and lead a dedicated FinServ sales team to multiply your success.

Responsibilities:

  • Vertical Strategy Formulation: Develop the comprehensive, end-to-end blueprint for penetrating the heavily regulated Financial Services sector. You will identify distinct entry points, tailoring specific messaging for quantitative research teams versus central IT and procurement at major banks and trading firms.
  • End-to-End Deal Execution: Act as the lead commercial architect for all early FinServ prospects. You will personally navigate the incredibly complex security audits, compliance reviews (SOC2, sovereign data requirements), and grueling procurement hurdles unique to global financial institutions.
  • FinServ Value Engineering: Translate Nscale's raw compute power, liquid-cooled density, and low-latency networking into deeply compelling financial ROI models that resonate specifically with bank CIOs, risk officers, and trading desk CTOs.
  • Regulatory & Security Partnership: Partner tightly with Nscale's Legal and Security teams to ensure our infrastructure and contracting processes meet the stringent requirements of the financial sector, effectively turning compliance into a competitive advantage.
  • Industry Ambassadorship: Establish Nscale as a trusted, secure partner in the quantitative finance community by representing the company at elite industry conferences and building relationships with key financial technology integrators.

You may be a good fit if you have:

  • 12+ years of enterprise tech sales, business development, or GTM leadership focused exclusively on the Financial Services industry, ideally selling infrastructure, cloud, or high-performance computing solutions.
  • Intimate, highly technical knowledge of how quantitative hedge funds, High-Frequency Trading (HFT) firms, and large retail banks procure, evaluate, and utilize massive compute clusters.
  • A strong, immediate, and warm network of C-level executives, Chief Risk Officers, and IT/Infrastructure contacts at major global financial institutions and trading firms.
  • Unimpeachable professional credibility and a high IQ for grasping complex financial modeling workloads. You possess the sophistication and executive presence required to navigate multi-stakeholder deals inside the world's most rigid corporate structures.
  • Deep familiarity with financial compliance standards, data sovereignty requirements, and the specific security objections that arise when selling cloud services to banks.
What We Can Offer You

At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core.

- Highly competitive package (base + equity).
- Join the fastest-growing tech startup, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI.
- Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support.
- Human-First Flexibility: We treat you as humans first. Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments.

Equal Opportunities Statement

At NScale, we are committed to fostering an inclusive, diverse, and equitable workplace. We believe that a variety of perspectives enriches our work environment, and we encourage applications from candidates of all backgrounds, experiences, and abilities. We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.

If there's anything we can do to accommodate your specific situation, please let us know.