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

BuyWander

VP of Data & AI

Spokane, WA · On-site

$185/hr

We are looking for a data "mad scientist" who is equal parts architect, quant, and business ... Personalization & Discovery Algorithms • Build the recommendation engines that power our "For You ...

All JobsAlgorithmic Execution Quant JobsAlgorithmic Execution Quant Jobs in Spokane, WA

Algorithmic Execution Quant information

See Spokane, WA salary details

$53.1K

$120.5K

$198.7K

How much do algorithmic execution quant jobs pay per year?

As of Jun 12, 2026, the average yearly pay for algorithmic execution quant in Spokane, WA is $120,491.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,400.00 and $154,200.00 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 jobs pay 2000 a day?

Algorithmic Execution Quants working in finance or trading firms can sometimes earn $2,000 or more per day through high-frequency trading, proprietary trading, or managing large portfolios. These roles typically require advanced quantitative skills, programming expertise, and experience with trading platforms and financial models.

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.

How much do algorithmic quants make?

Algorithmic execution quants typically earn between $100,000 and $200,000 annually at entry-level, with experienced professionals earning over $300,000 including bonuses. Compensation varies based on experience, firm size, location, and performance, and often includes bonuses tied to trading profits and technical skills in programming and quantitative analysis.

Is 40 too old to become an algorithmic execution quant?

Age is not a strict barrier to becoming an algorithmic execution quant, as the role values skills in programming, quantitative analysis, and financial markets. Many professionals transition into quant roles later in their careers by acquiring relevant knowledge through advanced degrees, certifications, or self-study. Success depends on your technical skills, experience, and ability to adapt to a fast-paced, data-driven environment.

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.

Do JP Morgan hire quants?

Yes, JP Morgan hires quantitative analysts and algorithmic execution quants who develop trading algorithms, optimize execution strategies, and analyze market data. These roles typically require strong programming skills, knowledge of financial markets, and experience with quantitative modeling tools. JP Morgan is known for employing quants across its trading and risk management divisions.

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 are popular job titles related to Algorithmic Execution Quant jobs in Spokane, WA? For Algorithmic Execution Quant jobs in Spokane, WA, the most frequently searched job titles are:
What job categories do people searching Algorithmic Execution Quant jobs in Spokane, WA look for? The top searched job categories for Algorithmic Execution Quant jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for Algorithmic Execution Quant jobs? Cities near Spokane, WA with the most Algorithmic Execution Quant job openings:
Algorithmic Execution Quant jobs near you
Infographic showing various Algorithmic Execution Quant job openings in Spokane, WA as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $120,491 per year, or $57.9 per hour.

VP of Data & AI

BuyWander

Spokane, WA • On-site

$185/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

Description:VP of Data & AI


Location: Seattle, WA (or Remote/Hybrid)
Type: Full-Time | Leadership
Compensation: Competitive Salary $185-250K that includes Meaningful Equity

_________________________________________________________________



ABOUT BUYWANDER

BuyWander is rebuilding the $850B retail returns industry, and turning it into something people actually love. We take chaotic, unstructured truckloads of returned goods and transform them into a fast, fun, treasure-hunt shopping experience powered by AI, real-time auctions, and local curbside pickup.


Think:

• Entertainment meets eCommerce • Treasure hunting meets Black Friday • Physical supply chain meets Data Engineering_________________________________________________________________


THE ROLE


We are hiring our first Head of Data & AI.


You will not inherit clean systems, a mature data warehouse, or a team of analysts. You are coming in as a hands-on builder—a "one-person army" to start—tasked with building the entire data function from scratch. Once the foundation is laid and the high-leverage models are running, you will build and lead the team to scale it.


We are looking for a data "mad scientist" who is equal parts architect, quant, and business strategist. If you love taking messy, unstructured physical world data and turning it into marketplace liquidity, keep reading.


WHAT YOU’LL OWN (THE ROADMAP)


You will work directly with the CEO and CTO to execute on seven critical technical priorities:


The Core Data Platform (0 to 1)

• Design and build our modern data stack and pipelines from the ground up.

• Partner with Finance and Ops to standardize reporting and deliver a trusted, scalable data foundation across the company.


Auction Design & Yield Optimization

• This is the heartbeat of our business. You will use data and game theory to optimize our auction mechanics.

• Develop models and recommendations for starting bids, auction durations, bundling strategies,

and dynamic pricing models to maximize yield and bid velocity.


User Demand & Bidder Value (Product Analytics)

• Analyze user behavior across the full journey (browse to bid to win to pickup).

• Model Customer Lifetime Value (LTV), define "Bidder Value," and identify exact friction

points in the marketplace to drive retention.


Supply-Side Intelligence: Manifest Analysis

• Build models that ingest messy, unstructured vendor manifests (CSVs, PDFs) to estimate yield and unit economics of a truckload and inform purchasing decisions.


Operations: Processing Analysis

• Measure and optimize the physics of our warehouse. Track ingestion times, grading accuracy, and labor efficiency to ensure our cost-to-process remains the lowest in the industry.


Personalization & Discovery Algorithms

• Build the recommendation engines that power our "For You" feeds. Match the right weird, unique, or high-value item to the exact right bidder at the right time to drive auction intensity.


Applied GenAI & AI Strategy

• Act as the internal vanguard for AI adoption. You will monitor rapidly evolving AI trends, test new models, and drive the organization’s AI strategy to ensure we maintain our technological edge.

• Hands-on execution: Design and deploy applied AI microservices, starting with initiatives like an autonomous LLM agent for personalized email outreach and lifecycle re-engagement.


_________________________________________________________________



Requirements:


WHAT YOU BRING

• Experience :7+ years in data science, analytics, or ML engineering roles, with a proven track record of stepping into 0 ? 1 environments.

• The Hacker Mentality :You are highly proficient in SQL, Python, and the modern data stack (e.g., dbt, Snowflake/BigQuery). You don't wait for tickets; you write scripts to figure it out.

• AI-Forward :You aren't just reading about LLMs; you are actively using commercial APIs (OpenAI, Anthropic) or open-source models to build internal workflows and agents.

• Commercial Acumen :You understand that a beautiful model is useless if it doesn't increase margin or conversion. You think like a business owner.


BONUS POINTS

• Deep experience in two-sided marketplaces, eCommerce, or pricing/auction design.

• Previous experience dealing with messy supply chain or reverse logistics data.

• Experience in high-growth startup environments.

COMPANY BENEFITS

• Competitive Salary and Performance-based Bonuses

• Meaningful equity in a company attacking a massive market, for a brand that can become nationally recognized

• Health, Vision & Dental Insurance

• Unlimited PTO

• Annual Company Offsites

• 401K



BuyWander is an Equal Opportunity Employer. We make employment decisions based on qualifications, skills, merit, and business needs. We believe a range of skills, perspectives, and experiences strengthens our team and supports better outcomes for our employees and customers.