1

Quantitative Software Engineer Jobs in Florida (NOW HIRING)

Creatively solve problems using quantitative and qualitative approaches to drive high-end business value * Develop documentation outlining methodology, feature engineering and model development

Low Latency Engineer

Miami, FL · On-site

$133K/yr

... quant researchers, and C++ engineers. You will have direct, immediate, and large-scale impact on ... All our software engineers take full ownership of projects directly relevant to the core business ...

Low Latency Engineer

Miami, FL

$133K/yr

... quant researchers, and C++ engineers. You will have direct, immediate, and large-scale impact on ... All our software engineers take full ownership of projects directly relevant to the core business ...

Data Analytics Engineer

Miami Lakes, FL · On-site

$103K - $124K/yr

... use of quantitative analytics * Applies statistical techniques to interpret risk and develop ... At least 4 years working with data modeling, software implementation, enhanced reporting analytics ...

Cloud Engineer

Miami, FL · On-site

$53.25 - $71.25/hr

We collaborate closely with developers, quants, researchers, and front-office trading teams to ... Work closely with software engineers to ensure our cloud platforms are secure, scalable, and ...

You will be responsible for developing new software as well as maintaining and supporting existing ... and quantitative methods. Team player, innovator, out of the box thinker. At BNY, our culture ...

You will be responsible for developing new software as well as maintaining and supporting existing ... and quantitative methods. Team player, innovator, out of the box thinker. At BNY, our culture ...

... award-winning quantitative hedge fund. As an AI Engineer, you'll work at the intersection of ... software engineering with production LLM experience * ​3-5 years of professional software ...

Python Developer

Tampa, FL · On-site

$45.75 - $63/hr

Software Guidance & Assistance, Inc., (SGA), is searching for a Python Developer for a Right to ... Collaborate effectively with cross-functional teams (Risk, Quants, FO, DevOps, Production Support ...

Showing results 21-40

Quantitative Software Engineer information

See Florida salary details

$8.2K

$96.9K

$148K

How much do quantitative software engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for quantitative software engineer in Florida is $96,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,100.00 and $103,500.00 per year, depending on experience, location, and employer.

What is a quantitative software engineer?

Quantitative Software Engineers are professionals who design, develop, and maintain software systems for quantitative analysis, often in finance, trading, or research environments. They combine expertise in mathematics, statistics, and computer science to build models and algorithms that analyze large data sets, optimize trading strategies, or automate decision-making processes. Their work involves close collaboration with quantitative analysts (quants) and requires strong programming skills, typically in languages like Python, C++, or Java. The role is key in ensuring that quantitative models are efficiently implemented and scalable for real-world applications.

What does a quantitative software engineer do?

As a quantitative software engineer, your responsibilities are to design and build tools to develop a platform for clients for the purpose of enhancing various processes they have. To achieve this, you apply advanced analytics and concepts to develop system solutions. Your duties also include researching the computer-software development lifecycle and modeling new products to supplement the software. You assist clients with the quality and timeliness of research, analysis, and development while focusing on best practices. In this role, you typically work with your team and the client to develop, validate, and implement product and software solutions.

What are the key skills and qualifications needed to thrive as a quantitative software engineer, and why are they important?

To thrive as a Quantitative Software Engineer, you need a strong background in mathematics, statistics, computer science, and programming languages such as Python, C++, or Java, typically supported by a relevant degree. Proficiency with data analysis tools, quantitative libraries, and version control systems like Git is essential, and knowledge of financial modeling or algorithmic trading platforms is often required. Strong problem-solving abilities, attention to detail, and effective teamwork distinguish top performers in this field. These skills are crucial for building robust, efficient systems that support data-driven decision-making in high-stakes environments.

How does a quantitative software engineer typically collaborate with researchers and traders in a financial firm?

Quantitative Software Engineers work closely with quantitative researchers and traders to design, implement, and optimize trading algorithms and analytics tools. They often translate research prototypes into robust, production-ready code, ensuring that strategies can be executed efficiently and reliably in real market conditions. Regular collaboration involves participating in cross-functional meetings, gathering requirements, and providing technical feedback to improve both performance and usability of systems. This collaborative environment helps ensure that trading strategies are not only innovative but also technically sound and scalable.

What is the difference between Quantitative Software Engineer vs Quantitative Analyst?

AspectQuantitative Software EngineerQuantitative Analyst
CredentialsDegree in Computer Science, Software Engineering, or related field; coding skillsDegree in Finance, Economics, or Mathematics; strong analytical skills
Work EnvironmentDevelops trading algorithms, software tools, and infrastructureBuilds financial models, analyzes market data, and advises on investment strategies
Industry UsageTechnology-driven financial firms, hedge funds, trading firmsInvestment banks, asset management firms, hedge funds

While both roles involve quantitative skills, Quantitative Software Engineers focus on developing software systems and tools used in trading and risk management, whereas Quantitative Analysts primarily analyze data and develop models to inform investment decisions. The roles often collaborate but differ in technical focus and daily tasks.

What job categories do people searching Quantitative Software Engineer jobs in Florida look for?

The top searched job categories for Quantitative Software Engineer jobs in Florida are:

What are popular job titles related to Quantitative Software Engineer jobs in FL?

For Quantitative Software Engineer jobs in FL, the most frequently searched job titles are:

Infographic showing various Quantitative Software Engineer job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $96,899 per year, or $46.6 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Job description

Description
THE OPPORTUNITY
As a Data Scientist, you will have the opportunity to learn and apply RMS' methodologies to solve analytical problems critical to driving high-end business value to our clients. This position requires an applied knowledge of Data Science and Deep Learning as well as demonstrating an ability to code in Python and SQL.
RIGHT TO WORK
Candidates must have the legal right to work in the country the position is based. The employer does not provide sponsorship for work authorization for this role.
WHO YOU'LL WORK WITH
You'll work in our Tampa office as part of our Research & Development team, reporting to the Senior Director of AI and Machine Learning. You will work with the AI and Machine Learning team to develop machine learning or deep-learning models, perform exploratory data analysis, and apply data mining techniques. We take pride in encouraging each other's career ambitions and you'll find opportunities for personal development throughout our company. This is a hybrid position, working in the office 3 days a week.
WHAT YOU'LL DO
  • Implement scaled and systematic analytical solutions Build complex datasets and features stores from disparate sources
  • Create project plans, test various approaches, and evaluate results to answer key business questions
  • Creatively solve problems using quantitative and qualitative approaches to drive high-end business value
  • Develop documentation outlining methodology, feature engineering and model development
  • Engage and support internal teams to articulate processes and results

SKILLS AND QUALIFICATIONS
  • Working Knowledge of statistics, machine learning/deep - learning, and data - mining algorithms
  • Hands on experience coding in Python
  • Experience working with large data sets
  • Practical experience with Git and use of repositories for source control
  • Strong interpersonal and communication skills, both verbal and written
  • Ability to effectively manage simultaneous projects and deadlines
  • Bachelor's degree in Economics, Mathematics, Engineering, Computer Science, or a field with a quantitative and technical emphasis required

PREFERRED
  • Graduate degree, or supplementary courses in Statistics, Economics, Data Science or Data Engineering

BENEFITS
as a full-time RMS Employee, you will be eligible for:
  • 100% employer paid HSA medical insurance, or 80% employer paid medical insurance for HMO and PPO plans for employees and qualifying dependents
  • Dental and vision insurance (80% employer paid)
  • Basic Life and AD&D insurance (100% employer paid)
  • Telemedicine (100% employer paid)
  • 401k plan with company matching contribution of 4% of annual gross salary with immediate vesting
  • Tuition assistance is available to support continuous education efforts
  • 15 business days paid vacation for the first year based on your hire date (pro rata), 15 days thereafter; 20 days after two years, and 25 days after ten years
  • Eight paid holidays + 1 personal floating holiday
  • Paid parking and health club membership
  • Paid parental leave

WHO WE ARE
Revenue Management Solutions (RMS) partners with restaurant brands to navigate an increasingly complex operating environment. Trusted by more than 50 leading brands across 40+ countries, we deliver data-driven analytics and technology-enabled solutions that optimize pricing, menus, and overall financial performance. Six of the top 10 U.S. quick-service brands and 16 of the top 30 global restaurant brands-representing more than 100,000 restaurants worldwide-rely on RMS to make informed business decisions that drive profitability while addressing rising costs, including inflation and labor. RMS holds five U.S. patents in menu pricing and customer segmentation and actively supports academic research to advance the field of revenue management.
Learn more at revenuemanage.com.
WHAT WE BELIEVE
Our goal at RMS is to create positive change in the communities we serve. With team members representing over 20 countries, we respect and embrace diverse perspectives, cultures, and experiences. We believe our differences strengthen our work and help us deliver better outcomes for our clients and each other.
Revenue Management Solutions is an equal opportunity employer and E-Verify participant. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, or any other characteristic protected by applicable law.