In this role, you will contribute to the design, build, and execution of data engineering and ... quantitative field or equivalent experience * 6+ years of experience programming in Python or R ...
In this role, you will contribute to the design, build, and execution of data engineering and ... quantitative field or equivalent experience * 6+ years of experience programming in Python or R ...
In this role, you will contribute to the design, build, and execution of data engineering and ... quantitative field or equivalent experience * 6+ years of experience programming in Python or R ...
In this role, you will contribute to the design, build, and execution of data engineering and ... quantitative field or equivalent experience * 6+ years of experience programming in Python or R ...
Algorithmic Execution Quant information
See Phoenix, AZ salary details
$52.1K - $65.1K
4% of jobs
$65.1K - $78.1K
17% of jobs
$80K is the 25th percentile. Wages below this are outliers.
$78.1K - $91.1K
29% of jobs
$91.1K - $104.1K
0% of jobs
$104.1K - $117.1K
2% of jobs
$117.1K - $130.1K
7% of jobs
$130.1K - $143.1K
7% of jobs
$150K is the 75th percentile. Wages above this are outliers.
$143.1K - $156.1K
16% of jobs
$156.1K - $169.1K
7% of jobs
$169.1K - $182.1K
5% of jobs
$182.1K - $195.1K
5% of jobs
$52.1K
$118.3K
$195.1K
How much do algorithmic execution quant jobs pay per year?
As of Sep 2, 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 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 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 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 is the difference between Algorithmic Execution Quant vs Quantitative Trader?
| Aspect | Algorithmic Execution Quant | Quantitative Trader |
|---|---|---|
| Primary Focus | Developing and implementing algorithms for trade execution to minimize market impact | Creating trading strategies to generate alpha and profit from market movements |
| Work Environment | Quantitative research teams, trading desks, technology-driven | Trading floors, portfolio management teams, research departments |
| Required Skills | Programming, market microstructure, execution algorithms | Quantitative 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 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:
Delivery Senior Consultant, Data Engineering and Gen AI Conversion Solutions
Gilbert, AZ • On-site
Full-time
Re-posted 14 days ago
Deloitte rating
8.2
Based on 93 frontline employees who took The Breakroom Quiz
46th of 152 rated financial services
Job description
Join Deloitte's Government & Public Services (GPS) practice as a Senior Consultant, Data Engineering and help deliver data solutions that support mission-driven outcomes. In this role, you will contribute to the design, build, and execution of data engineering and conversion solutions for government clients. You will work across data migration, integration, and validation activities to help clients modernize platforms and scale their data capabilities within Deloitte's US Delivery Center model.
Work you'll do
As a Senior Consultant, Data Engineering on the GPS AI & Data team, you will be responsible for...
- Developing, designing, and maintaining cutting-edge AI-based systems, ensuring smooth and engaging user experiences
- Participating in a wide variety of Natural Language Processing activities, including refining and optimizing prompts to improve the outcome of Large Language Models (LLMs), and code and design review
- Developing and promoting standards across the community
- Working with leadership and stakeholders to identify AI opportunities and promote strategy
- Building and prioritizing backlog for future machine-learning enabled features to support client business processes
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte.
The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.
Qualifications
Required:
- Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or another quantitative field or equivalent experience
- 6+ years of experience programming in Python or R with libraries like Tensorflow, PyTorch, or Keras
- 5+ years of experience with NLP and LLM, especially focused on GenAI technologies such as OpenAI, Claude, Gemini, etc.
- 2+ years of understanding of machine learning algorithms, including supervised and unsupervised learning
- Proven experience with with cloud-hyperscalers (AWS, Azure, GCP)
- Proven experience with big data technologies, i.e Angular, React, NodeJS, C#, .Net, Java, Golang, SQL
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
- Must be able to obtain and maintain the required clearance for this role
Preferred:
- 1+ years of experience supporting government or public sector data programs
- Master's Degree in related technical discipline
- Experience working with Agile delivery methods
- Experience with Agentic AI development
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Qualifications:Join Deloitte's Government & Public Services (GPS) practice as a Senior Consultant, Data Engineering and help deliver data solutions that support mission-driven outcomes. In this role, you will contribute to the design, build, and execution of data engineering and conversion solutions for government clients. You will work across data migration, integration, and validation activities to help clients modernize platforms and scale their data capabilities within Deloitte's US Delivery Center model.
Work you'll do
As a Senior Consultant, Data Engineering on the GPS AI & Data team, you will be responsible for...
- Developing, designing, and maintaining cutting-edge AI-based systems, ensuring smooth and engaging user experiences
- Participating in a wide variety of Natural Language Processing activities, including refining and optimizing prompts to improve the outcome of Large Language Models (LLMs), and code and design review
- Developing and promoting standards across the community
- Working with leadership and stakeholders to identify AI opportunities and promote strategy
- Building and prioritizing backlog for future machine-learning enabled features to support client business processes
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte.
The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.
Qualifications
Required:
- Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or another quantitative field or equivalent experience
- 6+ years of experience programming in Python or R with libraries like Tensorflow, PyTorch, or Keras
- 5+ years of experience with NLP and LLM, especially focused on GenAI technologies such as OpenAI, Claude, Gemini, etc.
- 2+ years of understanding of machine learning algorithms, including supervised and unsupervised learning
- Proven experience with with cloud-hyperscalers (AWS, Azure, GCP)
- Proven experience with big data technologies, i.e Angular, React, NodeJS, C#, .Net, Java, Golang, SQL
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
- Must be able to obtain and maintain the required clearance for this role
Preferred:
- 1+ years of experience supporting government or public sector data programs
- Master's Degree in related technical discipline
- Experience working with Agile delivery methods
- Experience with Agentic AI development
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Education:OtherEmployment Type:
About Deloitte
Sourced by ZipRecruiter
Industry
Finance and insurance and business management consulting
Company size
10,000+ Employees
Headquarters location
Orlando, FL, US