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Quantitative Software Engineer Jobs in Florida (NOW HIRING)

AI and Data Science Engineer II

Miami, FL · On-site

$109K - $131K/yr

Bachelor's degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field * 2+ years of industry experience outside of academia applying ...

AI and Data Science Engineer II

Tampa, FL · On-site

$108K - $129K/yr

Bachelor's degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field * 2+ years of industry experience outside of academia applying ...

You must be equally comfortable working with software architects and engineers to understand system ... quantitative and qualitative data (including usage statistics, error patterns, and workflow ...

You must be equally comfortable working with software architects and engineers to understand system ... quantitative and qualitative data (including usage statistics, error patterns, and workflow ...

Data Analytics Engineer

Miami, FL · On-site

$109K - $131K/yr

Strong quantitative, analytical, and problem-solving skills. * Demonstrated ability to develop and implement applications using programming languages * Experience with SQL required * Experience in ...

Data Analytics Engineer

Miami, FL · On-site

$109K - $131K/yr

Strong quantitative, analytical, and problem-solving skills. * Demonstrated ability to develop and implement applications using programming languages * Experience with SQL required * Experience in ...

AI Operator / Engineer

Miami, FL · On-site

$70K - $110K/yr

... quantitative field -- or equivalent demonstrated experience * Proficiency in Python and experience building software beyond coursework * Hands-on experience with LLMs, prompt engineering, or AI/ML ...

... 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 ...

... 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 ...

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Quantitative Software Engineer information

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$8.2K

$96.9K

$148K

How much do quantitative software engineer jobs pay per year?

As of Jun 10, 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 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 are Quantitative Software Engineers?

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 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.

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.

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 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 June 2026, with employment types broken down into 1% As Needed, 39% Full Time, 50% Part Time, 2% Temporary, 7% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $96,899 per year, or $46.6 per hour.
Home Lending Data & Analytics - Applied AI/ML Engineer - VP

Home Lending Data & Analytics - Applied AI/ML Engineer - VP

JPMorgan Chase & Co

Jacksonville, FL • On-site

$103K - $123K/yr

Full-time

Medical, Retirement

Posted 6 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 468 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Are you ready to play a pivotal role in shaping the future of Data & Analytics? 

As a valued member of our Home Lending Data & Analytics Applied AI/ML team, you will be at the forefront of our firm-wide initiatives to innovate and enhance Data & Analytics functions. Your contributions will be instrumental in transforming the processes and tools for data, analysis, and modeling.

As an Applied AI/ML Engineer within our Home Lending Data & Analytics team, you will work in close coordination with various teams in Data & Analytics, including Data Owners, Reporting, Analysis, and Modeling. Your role will involve designing and implementing AI-powered solutions that boost operational efficiency, improve employee experience, and improve data quality. Leveraging your expertise in artificial intelligence and data analytics, you will develop state-of-the-art applications that simplify processes and yield tangible business outcomes. Your valuable contributions will play a pivotal role in transforming our way of working, ensuring we remain at the cutting edge of the industry.

Job Responsibilities:

  • Write and deliver high-quality code for AI-driven Home Lending Data & Analytics initiatives, ensuring robust and efficient solutions that meet business objectives
  • Work closely with Data Owners, Reporting, Analysis, and Modeling teams to address and solve complex problems including AI, ML, and advanced analytics, with a focus on generative AI technologies
  • Deploy and scale AI models to production environments, ensuring robustness, reliability, security, and compliance
  • Fine-tune AI models for optimal performance and efficiency, addressing any issues that arise
  • Work closely with data scientists, software engineers, and product teams to integrate AI solutions into existing systems and workflows
  • Own and manage the entire code lifecycle, from development through production deployment and ongoing maintenance, adhering to best practices 
  • Develop and maintain comprehensive technical documentation for all AI solutions, ensuring clarity, accuracy, and accessibility for both technical and non-technical stakeholders
  • Continuously monitor AI performance, making necessary adjustments to maintain and improve accuracy and efficiency
  • Engage with stakeholders to develop, demonstrate, and iterate on deliverables, ensuring alignment with analyst needs and regulatory requirement

Required qualifications, capabilities, and Skills:

  • 7+ years of work experience.
  • Masters degree in a quantitative field such as Data Science, Computer Science, Engineering, Math, Physics, etc
  • Proven track record of delivering projects in the AI/ML and data analytics space
  • Proficiency in Python.
  • Experience with foundation LLMs (e.g., GPT-5, Claude), RAG, Agents.
  • Strong understanding of software engineering principles and practices, including version control, testing, and code optimization
  • Technical documentation experience preferred.


Preferred qualifications, capabilities and skills:

  • Experience with AWS Cloud Platform and Databricks for deploying and managing machine learning models preferred.

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

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