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Algorithmic Execution Quant Jobs in Redmond, WA (NOW HIRING)

This new organization brings together teams driving sourcing execution (including domestic and ... You are deeply curious about how algorithms drive business outcomes at scale - and you're ...

This new organization brings together teams driving sourcing execution (including domestic and ... You are deeply curious about how algorithms drive business outcomes at scale - and you're ...

... power algorithmic trading, risk modeling, deep quantitative analysis, and generative AI ... You will own the complete strategy and execution for bringing Nscale's high-density, low-latency ...

This new organization brings together teams driving sourcing execution (including domestic and ... You are deeply curious about how algorithms drive business outcomes at scale - and you're ...

Senior Applied Scientist, Trust & Safety

Seattle, WA · On-site

$104K - $142K/yr

Apply machine learning, graph and network algorithms, anomaly detection, and other quantitative ... execution, combining ML models, heuristics, feedback loops, and human-in-the-loop review where ...

You will lead Strategy and Execution of a technical roadmap that will increase the velocity of ... data structures and algorithms * Experience solving analytical problems with quantitative ...

You will lead Strategy and Execution of a technical roadmap that will increase the velocity of ... data structures and algorithms * Experience solving analytical problems with quantitative ...

Senior Staff Engineer

Seattle, WA · On-site

$130K - $260K/yr

You will lead the strategy and execution of a technical roadmap that will increase the velocity of ... CS data structures and algorithms Experience solving analytical problems with quantitative ...

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Algorithmic Execution Quant information

See Redmond, WA salary details

$58.8K

$133.5K

$220.1K

How much do algorithmic execution quant jobs pay per year?

As of Aug 15, 2026, the average yearly pay for algorithmic execution quant in Redmond, WA is $133,459.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,900.00 and $170,800.00 per year, depending on experience, location, and employer.

What is the difference between Algorithmic Execution Quant vs Quantitative Trader?

AspectAlgorithmic Execution QuantQuantitative Trader
Primary FocusDeveloping and implementing algorithms for trade execution to minimize market impactCreating trading strategies to generate alpha and profit from market movements
Work EnvironmentQuantitative research teams, trading desks, technology-drivenTrading floors, portfolio management teams, research departments
Required SkillsProgramming, market microstructure, execution algorithmsQuantitative modeling, market analysis, strategy development

While both roles involve quantitative skills, an Algorithmic Execution Quant specializes in optimizing trade execution processes, whereas a Quantitative Trader focuses on developing strategies to generate profits. The roles often collaborate but serve different functions within trading firms.

What are the key skills and qualifications needed to thrive as an algorithmic execution quant, and why are they important?

To thrive as an Algorithmic Execution Quant, you need a strong background in quantitative analysis, programming (often in Python or C++), and a solid understanding of financial markets, typically supported by an advanced degree in a quantitative discipline. Proficiency with statistical modeling tools, trading platforms, and market data systems, as well as familiarity with technologies like FIX protocol, is crucial. Strong problem-solving ability, attention to detail, and effective communication help you collaborate across trading, research, and technology teams. These skills are essential for designing, optimizing, and maintaining robust trading algorithms that achieve best execution and mitigate risk in fast-moving markets.

What are some common challenges faced by algorithmic execution quants when developing and deploying trading algorithms?

Algorithmic Execution Quants often encounter challenges such as adapting strategies to rapidly changing market conditions, managing latency and slippage, and ensuring compliance with regulatory requirements. They must also balance the need for innovation with the necessity for robust risk controls and system reliability. Collaboration with traders, developers, and risk managers is essential to refine algorithms and ensure they perform optimally in live trading environments.

What does an algorithmic execution quant do?

An Algorithmic Execution Quant is responsible for designing, developing, and optimizing algorithms that execute large financial trades efficiently and at minimal cost. They analyze market microstructure, create models to predict market impact, and work closely with traders and engineers to implement these strategies in real-time trading systems. Their work is essential in minimizing transaction costs and improving trade execution quality for their firm.

What job categories do people searching Algorithmic Execution Quant jobs in Redmond, WA look for?

The top searched job categories for Algorithmic Execution Quant jobs in Redmond, WA are:

What cities near Redmond, WA are hiring for Algorithmic Execution Quant jobs?

Cities near Redmond, WA with the most Algorithmic Execution Quant job openings:

Finance Manager, SCOT Finance

Amazon

Bellevue, WA

Full-time

Re-posted yesterday


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,089 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history.
The Supply Chain Optimization Technologies (SCOT) Finance team is seeking a Finance Manager to support Sourcing Execution & Performance (SE&P)

This team is responsible for orchestrating the flow of inbound movements through Amazon's supply chain WW, from purchase order to receive, as well as vendor performance systems and policies. This includes increasing access to supply, driving adoption of Electronic Integration automation technologies, improving the quality and coverage of signals that our suppliers, carriers and Amazon systems generate, and reducing supply chain defects. This new organization brings together teams driving sourcing execution (including domestic and direct imports) with teams owning vendor performance and policies to support that execution.

You will work directly with a global team of research scientists, AI and machine learning engineers, software developers, and product managers who are building autonomous systems that make millions of decisions daily. As the finance partner, you'll engage in model design discussions as the financial SME - ensuring algorithms incorporate appropriate financial inputs - and build the metrics and mechanisms to audit whether those models are delivering the outcomes we intended. You will also be the controller for the Vendor Chargebacks account, helping connect the dots between sourcing defects and the impact to Amazon's bottom line.
This is a perfect position for someone who knows how to drive consensus across stakeholders, work fast, and smart

Your experience has taught you how to look around corners and surface issues before they arise. You are passionate about finding simple solutions to complex problems, and data-driven decisions. You are deeply curious about how algorithms drive business outcomes at scale - and you're comfortable interrogating model outputs, challenging assumptions, and asking "is this optimizing for the right thing?" You are obsessed with our customer and understand the importance of making choices that are beneficial in the long-term.

You are able to navigate complex topics and dive deep to understand the root cause of unexpected anecdotes, without losing sight of the full picture. You know which details make all the difference, and which ones don't add value. You know the difference between spending time wisely and wasting time.
Key job responsibilities
- Manage the development and maintenance of weekly and monthly financial metrics, planning, forecasting, and reporting models for WW Vendor Chargebacks - driving continuous innovation and communicating insights to Operations and Retail partners
- Build and improve metrics and audit mechanisms to evaluate algorithmic decision outcomes - identifying when systems are underperforming and bringing data-driven recommendations to course-correct
- Translate complex algorithmic sourcing decisions into clear explanations for leadership, answering "why did the system recommend X" with financial and business context
- Collect, analyze, and manage quantitative data to create meaningful reports that drive business improvement and cost reductions
- Conduct root cause analysis and uncover core issues using data to drive actions and improvements
- Conduct ad hoc analysis to quantify financial impact of opportunities and risks
- Communicate verbally and in writing to business customers and leadership with various levels of technical knowledge, educating them about our systems and sharing insights and recommendations
- Work with data source providers and technology teams to ensure that key decision data is accurate, automated, and timely
- Leverage AI and automation tools - including GenAI assistants and AI-powered data platforms - to accelerate analysis, improve productivity, and continuously explore new ways to deliver higher-quality insights faster
A day in the life
This role partners closely with a broad range of global finance and business leaders in Retail and Operations

This role works with research scientists, technical product managers, and software developers. This role designs, develops, and maintains performance measurements and reports on strategic input drivers to continuously improve the economics of the business.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US