1

Algorithmic Execution Quant Jobs in Rhode Island

Algorithmic Execution Quant information

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 Rhode Island? For Algorithmic Execution Quant jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Algorithmic Execution Quant jobs in Rhode Island look for? The top searched job categories for Algorithmic Execution Quant jobs in Rhode Island are:
What cities in Rhode Island are hiring for Algorithmic Execution Quant jobs? Cities in Rhode Island with the most Algorithmic Execution Quant job openings:
Lead Director - Software Engineering (Health100 Platform)

Lead Director - Software Engineering (Health100 Platform)

CVS Health

Woonsocket, RI • On-site, Remote

$144K - $288K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,245 frontline employees who took The Breakroom Quiz

78th of 99 rated pharmacies


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 ourselvesaccountable 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 AInative health technology platform that unifies pharmacies, providers, insurers, PBMs, and digital health solutions into a single, consumerfocused 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, cloudnative environments.

  • Proven delivery of large-scale, multi-team engineering programs, owning strategy through execution in fastpaced 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.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

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 fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing 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: 06/26/2026

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


What CVS Health employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom