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Quantitative Software Engineer Jobs in Florida (NOW HIRING)

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 ...

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. • ...

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 ...

... Software Engineering, Mathematics, Statistics, or a related quantitative field - At least 3 years of professional experience developing AI/ML systems, building full-stack applications, or integrating ...

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 ...

... Software Engineering, Mathematics, Statistics, or a related quantitative field - At least 3 years of professional experience developing AI/ML systems, building full-stack applications, or integrating ...

... Software Engineering, Mathematics, Statistics, or a related quantitative field - At least 3 years of professional experience developing AI/ML systems, building full-stack applications, or integrating ...

... Software Engineering, Mathematics, Statistics, or a related quantitative field - At least 3 years of professional experience developing AI/ML systems, building full-stack applications, or integrating ...

... 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 ...

: Lead Engineer

Orlando, FL · On-site

$93K/yr

In this role, you will drive significant bottom-line value by applying advanced quantitative ... Modeling software (e.g., R, SPSS, or equivalent). • Strong command of project management ...

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 Jul 24, 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 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 July 2026, with employment types broken down into 90% Full Time, 6% Part Time, 1% Temporary, and 3% 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.

Global AML Operations - Data Engineer

BofA Securities

Jacksonville, FL • On-site

$106K - $127K/yr

Full-time

PTO

Posted 17 days ago


Job description

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:
This job is responsible for developing and delivering data solutions to accomplish technology and business goals and initiatives. Key responsibilities include performing code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytical data systems. Job expectations include working with stakeholders and Product and Software Engineering teams to aid with implementing data requirements, analyzing performance, and researching and troubleshooting data problems within system engineering domains.

Responsibilities:

  • Works across development teams to contribute to the story refinement and delivery of data requirements through the delivery life cycle
  • Leverages architecture components in solution development, codes solutions to integrate, clean, transform, and control data in operational and analytical data systems per acceptance criteria
  • Builds processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management and defines and builds data pipelines and complex data sets to enable data-informed decision making, identifying and raising risks at all stages of the data engineering process
  • Develops and executes test plans to produce quantitative results, contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies test issues and errors, and triages underlying causes
  • Drives complex information technology projects to ensure on-time delivery and adheres to team delivery and release processes
  • Identifies, defines, and documents data engineering requirements, communicating required information for deployment, maintenance, support, and business functionality
  • Works with technology partners and a diverse set of stakeholders to identify and close gaps in data management standards adherence, negotiates paths forward, and helps identify and communicate solutions to complex data problems leveraging knowledge of information systems, techniques, and processes

Skills:

  • Analytical Thinking
  • Application Development
  • Data Management
  • DevOps Practices
  • Solution Design
  • Agile Practices
  • Collaboration
  • Decision Making
  • Risk Management
  • Test Engineering
  • Architecture
  • Business Acumen
  • Data Quality Management
  • Financial Management
  • Solution Delivery Process

Line of Business Job Description

This role is responsible for designing, developing, implementing, and supporting data and reporting solutions for AML. The individual will work closely with business partners, product owners, and technology teams to deliver reliable, scalable, and efficient data capabilities that support operational processes, reporting, analytics, and regulatory requirements.

The position requires strong technical skills, attention to detail, and the ability to execute across multiple initiatives while contributing to the stability, performance, and continuous improvement of AML data platforms.

Responsibilities:

  • Design, develop, test, and maintain data pipelines, reporting solutions, and data products supporting AML processes.
  • Build and enhance data integrations, workflows, and automation solutions to improve efficiency and data quality.
  • Develop scalable and reusable data components that support multiple applications and use cases.
  • Support the day-to-day operation of AML data platforms, including issue resolution, monitoring, and performance optimization.
  • Analyze data requirements and translate business needs into technical solutions.
  • Perform data analysis, validation, reconciliation, and quality checks to ensure accuracy and completeness.
  • Troubleshoot production issues and implement sustainable solutions to prevent recurrence.
  • Participate in code reviews and testing activities to ensure solution quality and adherence to development standards.
  • Contribute to platform resiliency, performance tuning, and disaster recovery testing activities.
  • Create and maintain technical documentation, operational procedures, and support materials.
  • Support Agile delivery process.
  • Identify opportunities to improve processes, automation, and overall platform efficiency.

Required Qualifications:

  • 3+ years of experience designing, developing, and supporting data solutions in a complex enterprise environment.
  • Hands-on experience developing and maintaining data pipelines, reporting solutions, and workflow automation.
  • Strong experience with SQL and large-scale data processing.
  • Experience supporting production environments, including monitoring, troubleshooting, and performance optimization.
  • Ability to analyze complex data problems and develop practical, scalable solutions.
  • Experience working within Agile delivery teams.
  • Strong written and verbal communication skills.
  • Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment.
  • Strong collaboration skills and ability to work effectively with technical and business partners.
  • Experience with data governance, data quality, and control processes.
  • Ability to work independently while contributing effectively within a team environment.

Desired Qualifications:

  • Experience building reusable frameworks, automation capabilities, or shared platform components.
  • Familiarity with data architecture principles and enterprise data management practices.
  • Experience working with reporting, analytics, or business intelligence solutions.
  • Demonstrated ability to learn new technologies and apply them effectively.
  • Self-motivated with a focus on execution and continuous improvement.

Skills:

  • Data Engineering
  • Data Integration
  • SQL Development
  • Data Pipeline Development
  • ETL / ELT Development
  • Workflow Automation
  • Data Quality Management
  • Application Development
  • Cloud Data Technologies
  • Performance Optimization
  • Production Support
  • Troubleshooting
  • Agile Delivery
  • Analytical Thinking
  • Collaboration
  • Solution Implementation
  • Process Improvement

Shift:

1st shift (United States of America)

Hours Per Week:

40

Pay Transparency details

US - NJ - Pennington - 1400 American Blvd - Hopewell Bldg 4 (NJ2140)Pay and benefits informationPay range$116,600.00 - $142,500.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligibleThis role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.BenefitsThis role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.