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Quantitative Developer Jobs in Pompano Beach, FL

Experience with quantitative model risk assessment and establishment of risk thresholds preferred ... Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, Hugging ...

College Math Tutor

Cooper City, FL · Remote

$18 - $40/hr

... linear programming, and mathematical modeling. Ability to explain quantitative reasoning, set theory, logic, and probability while preparing students to meet general education mathematics ...

College Math Tutor

Sunrise, FL · Remote

$18 - $40/hr

... linear programming, and mathematical modeling. Ability to explain quantitative reasoning, set theory, logic, and probability while preparing students to meet general education mathematics ...

College Math Tutor

Miramar, FL · Remote

$18 - $40/hr

... linear programming, and mathematical modeling. Ability to explain quantitative reasoning, set theory, logic, and probability while preparing students to meet general education mathematics ...

... linear programming, and mathematical modeling. Ability to explain quantitative reasoning, set theory, logic, and probability while preparing students to meet general education mathematics ...

College Math Tutor

Hialeah, FL · Remote

$18 - $40/hr

... linear programming, and mathematical modeling. Ability to explain quantitative reasoning, set theory, logic, and probability while preparing students to meet general education mathematics ...

... and quantitative research methods including usability testing, interviews, surveys, contextual inquiry, field studies, behavioral analytics, segmentation, and A/B testing Excellent stakeholder ...

Data Analytics Engineer

Miami Lakes, FL · On-site

$103K - $124K/yr

The Data Analytics Engineer will be responsible for expanding and optimizing our data and data ... use of quantitative analytics * Applies statistical techniques to interpret risk and develop ...

Conduct quantitative and qualitative monitoring of workplace conditions, including air sampling and ... engineering controls (e.g., ventilation, containment), administrative controls, and the selection ...

The Cost Engineering Specialist supports the Program Controls function by analyzing program cost ... The ideal candidate pairs strong quantitative analysis with excellent written communication and ...

Showing results 21-40

Quantitative Developer information

See Pompano Beach, FL salary details

$92.2K

$159.7K

$244.2K

How much do quantitative developer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for quantitative developer in Pompano Beach, FL is $159,705.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,600.00 and $187,200.00 per year, depending on experience, location, and employer.

What is a quantitative developer?

Quantitative Developers, often called 'quant devs,' are professionals who combine expertise in programming, mathematics, and finance to design, develop, and maintain complex financial models and trading algorithms. They work closely with quantitative analysts (quants) to implement models that analyze financial data, price securities, or automate trading strategies. Their role typically involves programming in languages like Python, C++, or Java, and working with large datasets to ensure the efficiency and accuracy of financial systems. Quantitative Developers play a critical role in investment banks, hedge funds, and financial technology firms.

What are the key skills and qualifications needed to thrive as a quantitative developer?

To thrive as a Quantitative Developer, you need expertise in mathematics, statistics, programming (often in Python, C++, or Java), and a strong background in quantitative finance or a related field. Familiarity with financial modeling tools, version control systems like Git, and experience with data analysis libraries or platforms are typically required. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in this role. These skills are crucial for developing robust, efficient models and tools that directly support trading, risk management, and financial decision-making.

How does a quantitative developer typically collaborate with quantitative analysts and traders in a financial firm?

Quantitative Developers work closely with quantitative analysts to implement mathematical models into robust, efficient code that can be used by traders for real-time decision-making. They often translate research prototypes into production-ready applications, ensuring that the models are both accurate and optimized for speed. Regular communication with traders helps Quantitative Developers understand the practical requirements of trading strategies, allowing them to tailor tools and systems for maximum usability and impact. This collaborative environment is essential for quickly adapting to market changes and maintaining a competitive edge.

What is the difference between Quantitative Developer vs Quantitative Analyst?

AspectQuantitative DeveloperQuantitative Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related field; programming skills (Python, C++, Java)Degree in Finance, Economics, or Mathematics; strong analytical skills
Work EnvironmentPrimarily software development, coding, and system implementationData analysis, modeling, and strategy development
Employer & Industry UsageFinancial firms, hedge funds, trading desksInvestment banks, asset management firms, hedge funds
Common Search & ComparisonFocuses on coding and system buildingFocuses on market analysis and strategy

While both roles work within the finance industry and require quantitative skills, Quantitative Developers primarily focus on building and maintaining trading systems and algorithms through programming. Quantitative Analysts concentrate on analyzing data and developing models to inform trading strategies. The roles often collaborate but differ in their core responsibilities and skill sets.

What job categories do people searching Quantitative Developer jobs in Pompano Beach, FL look for?

The top searched job categories for Quantitative Developer jobs in Pompano Beach, FL are:

What cities near Pompano Beach, FL are hiring for Quantitative Developer jobs?

Cities near Pompano Beach, FL with the most Quantitative Developer job openings:

Infographic showing various Quantitative Developer job openings in Pompano Beach, FL as of August 2026, with employment types broken down into 81% Full Time, 5% Part Time, and 14% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $159,705 per year, or $76.8 per hour.

AI/ML Solutions Engineer

BankUnited

Miami Lakes, FL • On-site

Full-time

Posted 10 days ago


BankUnited rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

72nd of 174 rated banks


Job description

JOB SUMMARY: We are seeking an Artificial Intelligence/Machine Leaning (AI/ML) Solutions Engineer specialized in both AI & ML technologies and data engineering to join our data analytics team at BankUnited. In this role, you will design, develop, and deploy end-to-end AI & ML solutions that enhance our financial services, improve customer experiences, and optimize internal operations.This position offers an exciting opportunity to leverage your expertise in AI technologies and data engineering to transform our banking operations. You will be responsible for building comprehensive solutions from data pipeline development to AI/ML model deployment, addressing complex financial services challenges while working in a collaborative environment with cross-functional teams.As an ideal candidate, you will combine technical expertise in AI/ML with strong data engineering skills on AWS to build resilient, adaptable systems that can evolve with rapidly changing technologies. Success in this role requires practical implementation experience across the entire AI solution lifecycle - from data preparation and infrastructure design to model development and deployment - all within a regulated banking environment.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
  • Designs and implements generative AI applications for financial use cases, including document analysis, conversational interfaces, and predictive models
  • Develops and maintains machine learning pipelines using AWS SageMaker or similar cloud platforms
  • Designs and implements data pipelines to support AI/ML workflows on AWS
  • Develops ETL processes to prepare data for machine learning models
  • Collaborates with stakeholders to identify opportunities for AI implementation and innovation
  • Evaluates, fine-tune, and deploys large language models for financial services applications
  • Performs comprehensive model risk assessments and develop mitigation strategies
  • Designs and implements model benchmarking frameworks to evaluate performance, bias, and robustness
  • Documents model limitations and establish monitoring systems for early risk detection
  • Works with compliance teams to ensure AI systems meet regulatory requirements for model risk management
  • Ensures AI systems comply with banking regulations and ethical standards
  • Stays current with rapid advancements in AI technologies and methodologies.
  • Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.).
  • Adheres to Bank policies and procedures and completes required training.
  • Identifies and reports suspicious activity.

QUALIFICATIONS
Education
  • Bachelor's Degree in Computer Science, Data Science, Mathematics, or related field or experience required Or

Experience
  • 5+ years of experience required
  • Proven track record of deploying generative AI solutions in production environments (eg, chatbots, content generation systems, or AI assistants) required
  • Experience building and deploying machine learning models in production environments required
  • Experience implementing model validation techniques and performance benchmarking required
  • Experience with AWS data services (S3, Glue, Redshift, Athena) required
  • Experience with SQL and NoSQL databases required
  • Experience working with data scientists, product managers, and business units preferred
  • Experience developing model governance frameworks compatible with financial service regulations preferred
  • Experience with quantitative model risk assessment and establishment of risk thresholds preferred
  • Proven track record working with various Machine Learning Models, implementing them for various business use cases preferred
  • Expertise in designing controlled testing environments to benchmark model performance against established standards preferred
  • Experience implementing RAG (Retrieval-Augmented Generation) systems and other LLM-enhancement architectures preferred
  • Experience in a regulated industry, particularly financial services preferred
  • Experience with vector databases and semantic search technologies preferred
  • Experience developing scalable and maintainable AI infrastructures that accommodate rapid technological advancements

Licenses and Certifications
Knowledge, Skills, and Abilities
  • Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, Hugging Face) required
  • Strong understanding of model risk management frameworks and methodologies required
  • Knowledge of best practices for mitigating AI-specific risks, including bias, drift, and adversarial vulnerabilities required
  • Familiarity with cloud-based ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI) required
  • Familiarity with data pipeline orchestration tools (e.g., AWS Step Functions, Airflow) required
  • Understanding of data modeling and database design principles required
  • Understanding of NLP concepts and experience working with language models required
  • Knowledge of data security and privacy considerations, especially in financial contexts required
  • Strong collaborative skills and experience working in cross-functional teams required
  • Ability to communicate complex technical concepts to non-technical stakeholders required
  • Proficiency in using Amazon Q Business for enterprise operations and solutions required
  • Demonstrated passion for AI advancement, with a track record of self-directed learning, experimentation with emerging technologies, and willingness to pioneer innovative approaches preferred
  • Familiarity with AI orchestration and agent technologies preferred
  • Knowledge of prompt engineering and model fine-tuning techniques preferred
  • Understanding of AI explainability and bias mitigation approaches preferred
  • Forward-thinking approach to AI system design, with focus on adaptability and resilience preferred
  • Deep understanding of cloud architecture principles to design modular, interchangeable systems preferred
  • Demonstrated ability to anticipate technological changes and build solutions that can evolve preferred

Additional Information
Candidates residing in locations within BankUnited's footprint may be given preference.

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