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Algorithmic Execution Quant Jobs in Florida (NOW HIRING)

... execution, and ultimately delivery of project objectives. Essential Functions ... Develop scalable algorithms for large-scale data, applying data mining, clustering, statistical ...

... execution, and ultimately delivery of project objectives. Essential Functions ... Develop scalable algorithms for large-scale data, applying data mining, clustering, statistical ...

... execution, and ultimately delivery of project objectives. Essential Functions ... Develop scalable algorithms for large-scale data, applying data mining, clustering, statistical ...

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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 job categories do people searching Algorithmic Execution Quant jobs in Florida look for? The top searched job categories for Algorithmic Execution Quant jobs in Florida are:
What cities in Florida are hiring for Algorithmic Execution Quant jobs? Cities in Florida with the most Algorithmic Execution Quant job openings:
Data Scientist (Lending Analytics & Credit Risk)

Data Scientist (Lending Analytics & Credit Risk)

Navy Federal Credit Union

Pensacola, FL • On-site

Other

This job post has expired today. Applications are no longer accepted.


Navy Federal Credit Union rating

8.1

Company rating: 8.1 out of 10

Based on 263 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Overview

Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship.

Provide analytical insights by extracting data through machine learning, programming, data modeling, and advanced mathematics to recognize complex patterns and identify opportunities to drive impact across the organization with a focus on managing credit risk. Developing an understanding of business needs and objectives through the use of basic descriptive, predictive, and prescriptive models. Perform routine assignments with increasing scope and complexity. Work under close supervision with some latitude for problem solving within existing data platforms and tools. Developing professional with basic skill set and proficiency.

This position is eligible for the TalentQuest employee referral program. If an employee referred you for this job, please apply using the system-generated link that was sent to you.

Responsibilities

  • Design, develop, and evaluate basic/routine predictive models and algorithms with some complexity
  • Analyze and interpret results with some complexity
  • Limited judgment and discretion within defined procedures and practices
  • Develop and code basic software programs, algorithms, and automated processes
  • Use modeling and trend analysis to analyze data
  • Collaborate with team members and participate in team projects and initiatives
  • Utilize effective written and verbal communication to document and present findings

Qualifications

Required Qualifications

  • 2-3 years of experience in exploratory data analysis
  • Statistics
  • Programming, data modeling, simulation, and mathematics
  • SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
  • Model lifecycle execution
  • Technical writing
  • Data storytelling and technical presentation skills
  • Research Skills
  • Interpersonal Skills
  • Model Development
  • Communication
  • Critical Thinking
  • Collaborate and Build Relationships
  • Initiative with sound judgement
  • Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
  • Problem Solving (Responds as problems and issues are identified)
  • Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields

Desired Qualifications

  • Master's Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering

Hours: Monday - Friday, 8:00AM - 4:30PM

Location: 820 Follin Lane, Vienna, VA 22180 | 5510 Heritage Oaks Drive, Pensacola, FL 32526

About Us

Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks. Our approach to careers is simple yet powerful: Make our mission your passion.* FORTUNE 100 Best Companies to Work For 2026* Yello and WayUp Top 100 Internship Programs 2025* Computerworld Best Places to Work in IT 2026* Most Loved Workplace - America's Top Most Loved Workplaces 2025* 2025 PEOPLE Companies That Care* Newsweek Most Trustworthy Companies in America 2026* Military Times 2025 Best for Vets Employers* Forbes 2026 America's Best Large Employers* Forbes 2025 America's Best Employers for New Grads* Forbes 2025 America's Best Employers for Tech Workers* 2025 RippleMatch Campus Forward Award Winner for Overall Excellence* Military.com Top Military Spouse Employers 2025* 2026 Handshake Early Talent Award* Newsweek America's Greatest Workplaces for Culture, Belonging and Community 2026From Fortune Magazine. 2026 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune 100 Best Companies to Work For are registered trademarks of Fortune Media IP Limited and are used under license. Fortune Magazine, Fortune Media (USA) Corporation, and its affiliates are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at medicalaccommodations@navyfederal.org or by calling 1-888-503-6013. This team cannot provide any information on job postings or application status.Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

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About Navy Federal Credit Union

Sourced by ZipRecruiter

Navy Federal Credit Union, based in Vienna, Virginia, United States, is a significant player in the financial services industry. Their official website is navyfederal.org. With its roots dating back to 1933, it was initially established to provide credit to Navy members. Over the years, Navy Federal has magnified its scope, evolving into a full-service credit union serving all branches of the military, the Department of Defense, veterans, and their families. The company’s core values include integrity, service, education, and leadership. Navy Federal aims to be the most preferred and trusted financial institution serving the military and their families.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Vienna, VA, US

Year founded

1933