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Algorithmic Execution Quant Jobs in Phoenix, AZ (NOW HIRING)

... algorithms and traditional logistic regression techniques. * Perform the full scope end-to-end ... related quantitative field and 4+ years' experience in model development / model validation ...

... algorithms and traditional logistic regression techniques. * Perform the full scope end-to-end ... related quantitative field and 4+ years' experience in model development / model validation ...

Algorithmic Execution Quant information

See Phoenix, AZ salary details

$52.1K

$118.3K

$195.1K

How much do algorithmic execution quant jobs pay per year?

As of Aug 12, 2026, the average yearly pay for algorithmic execution quant in Phoenix, AZ is $118,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,900.00 and $151,400.00 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 are popular job titles related to Algorithmic Execution Quant jobs in Phoenix, AZ? For Algorithmic Execution Quant jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Algorithmic Execution Quant jobs in Phoenix, AZ look for? The top searched job categories for Algorithmic Execution Quant jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Algorithmic Execution Quant jobs? Cities near Phoenix, AZ with the most Algorithmic Execution Quant job openings:
Infographic showing various Algorithmic Execution Quant job openings in Phoenix, AZ as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $118,321 per year, or $56.9 per hour.

Lead Director - Software Engineering (Health100 Platform)

Stryker Corporation

Scottsdale, AZ • On-site

$144 - $288/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary

Health100 is an AI‑native health technology platform that unifies pharmacies, providers, insurers, PBMs, and digital health solutions into a single, consumer‑focused ecosystem. Powered by Google Cloud AI, we're reimagining personalized and connected health experiences.

We are looking for a hands‑on, passionate engineering leader to join a high‑energy, mission‑driven team on the forefront of digital health innovation - reinventing how consumers engage with their health. As the Lead Director of Software Engineering, you will lead the strategic vision, development, and execution of our platform engineering roadmap. You will drive innovation, manage cross‑functional teams, and ensure the delivery of high‑quality products that exceed consumer expectations.

As a key strategic leader, you will partner deeply with stakeholders across Health100 and CVS Health to understand consumers, current product landscape, operational needs, and business goals - developing long‑term visions, technical strategies, and roadmaps that deliver value. Design thinking is at the center of all you do, ensuring consumer centricity is the core of everything we build so that we deliver the right value to the right person at the right time.

*Preference is for candidates to work hybrid out of our corporate headquarters in Woonsocket, RI; remote will be considered for candidates not in close proximity to an office.

Responsibilities:
  • Strategic & technology roadmap ownership: Define and drive multi-team product and technical roadmaps, aligning engineering investments, architectural direction, and delivery priorities with business outcomes.
  • Engineering excellence & delivery governance: Establish scalable engineering standards, operational frameworks, and risk management practices to ensure quality, efficiency, and reliable execution across teams.
  • Organizational leadership & talent strategy: Lead, mentor, and grow engineering managers and senior engineers, owning hiring, performance management, career development, succession planning, and a culture of accountability and high performance.
  • Stakeholder & cross‑functional alignment: Partner closely with Product, Business, Architecture, Design, Security, and executive leaders to translate strategy into executable programs with clear milestones and measurable outcomes.
  • Resource scaling & innovation: Manage vendor and contingent workforce strategies while leading technology research and innovation across AI, cloud, and distributed systems to inform long‑term platform investments.
Required Qualifications
  • 12+ years of software engineering experience, including 5+ years leading managers and senior engineers in Agile, cloud‑native environments.
  • Proven delivery of large‑scale, multi‑team engineering programs, owning strategy through execution in fast‑paced digital or healthcare technology organizations.
  • Strong technical depth in distributed systems and cloud‑native architectures, including microservices (Java/Spring Boot, Python), DevOps (CI/CD, Kubernetes/Docker), and cloud platforms (GCP preferred).
  • Demonstrated success building and scaling high‑performing engineering organizations, including distributed teams (onshore/offshore/nearshore) and vendor partnerships.
  • Executive‑level communication and influence skills, with hands‑on or applied experience (1+ year) delivering AI-enabled or generative AI‑integrated software solutions.
Preferred Qualifications
  • Proven experience hiring and leading high‑performing, distributed engineering teams, including multi‑site and fully remote models.
  • Demonstrated data‑driven problem solving, using quantitative analysis to guide decisions and improve outcomes.
  • Hands‑on experience defining, tracking, and analyzing KPIs to measure engineering productivity, delivery health, and project success.
  • Practical experience with AI/ML technologies, including algorithms, frameworks, or applied tools in production or near‑production environments.
  • Experience delivering healthcare or wellness technology solutions, working effectively with both onshore and offshore vendor teams.
Education
  • Bachelor's degree in Computer Science, Information Systems, Engineering, related field, or equivalent experience (Highschool diploma plus 4 years relevant work experience).
Pay Range

The typical pay range for this role is:

$144,200.00 - $288,400.00

This pay range represents the base hourly rate or base annual full‑time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short‑term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 08/04/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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