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Quantitative Data Engineer Jobs in Miami, FL (NOW HIRING)

Da Vinci

Experienced Quant

Miami, FL · On-site

Develop tools that translate data analysis results into useful inputs for trading * Build and back test quantitative models and strategies * Collaborate with traders and developers to bring ...

Da Vinci

Experienced Quant

Miami, FL

Develop tools that translate data analysis results into useful inputs for trading * Build and back test quantitative models and strategies * Collaborate with traders and developers to bring ...

Quant Blueprint LLC

AI Quantitative Strategist

Miami, FL · On-site

$54 - $66/hr

Analyze large data sets using advanced statistical methods to identify trading opportunities ... Programming proficiency with at least one major programming or scripting language (e.g., C++, Java ...

Qfanalytics

Machine Learning Engineer

Miami, FL · On-site

$80 - $120/hr

They'll be working on cutting edge Quantitative Data Analysis and Machine Learning challenges. Our ... Required Qualifications Master's Degree in Mathematics, Engineering, Physics or related field;

Citadel

Quantitative Researcher - PhD Intern (US)

Miami, FL · On-site

$4.5K - $5.8K/wk

Use unconventional data sources to drive innovation * Conduct research and statistical analysis to ... engineers in the world. Our colleagues are empowered to test their ideas and develop commercial ...

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

The team is small, technical, and collaborative, with direct access to experienced traders, quantitative researchers, engineers, high-quality market data, and modern research infrastructure. This is ...

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

The team is small, technical, and collaborative, with direct access to experienced traders, quantitative researchers, engineers, high-quality market data, and modern research infrastructure. This is ...

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

The team is small, technical, and collaborative, with direct access to experienced traders, quantitative researchers, engineers, high-quality market data, and modern research infrastructure. This is ...

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All JobsQuantitative Data Engineer JobsQuantitative Data Engineer Jobs in Miami, FL

Quantitative Data Engineer information

See Miami, FL salary details

$10.5K

$124K

$189.4K

How much do quantitative data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for quantitative data engineer in Miami, FL is $124,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,400.00 and $132,500.00 per year, depending on experience, location, and employer.

What is a quantitative data engineer?

A Quantitative Data Engineer is a professional who designs, builds, and maintains data infrastructure that supports quantitative analysis, typically in finance or technology sectors. They work closely with quantitative analysts and data scientists to ensure efficient data pipelines, data quality, and high-performance systems for processing large datasets. Their responsibilities include developing ETL processes, optimizing databases, and implementing data models to support research and trading strategies. Strong programming skills, expertise in big data technologies, and knowledge of quantitative methods are essential for this role.

How does a quantitative data engineer typically collaborate with data scientists and quantitative analysts on projects?

Quantitative Data Engineers work closely with data scientists and quantitative analysts to design, build, and optimize data pipelines that support complex modeling and analytics. They are often responsible for ensuring data quality, scalability, and efficient data processing, enabling analysts to focus on developing models and extracting insights. Regular collaboration includes translating analytical requirements into technical solutions, troubleshooting data issues, and iterating on data infrastructure to support evolving project needs. This teamwork fosters an environment where technical and analytical expertise complement each other, leading to more robust and actionable results.

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

To excel as a Quantitative Data Engineer, you need strong proficiency in programming (such as Python, R, or C++), advanced mathematical and statistical knowledge, and a relevant degree in computer science, mathematics, or a related field. Experience with big data tools (like Spark, Hadoop), cloud platforms, and data pipeline systems, as well as familiarity with financial data sets, is typically required. Analytical thinking, detail orientation, and effective problem-solving skills distinguish top performers in this role. These competencies are critical for efficiently transforming complex data into actionable insights and supporting robust quantitative models in data-driven environments.

What is the difference between Quantitative Data Engineer vs Data Scientist?

AspectQuantitative Data EngineerData Scientist
Primary FocusBuilding data pipelines, data infrastructure, and ensuring data qualityAnalyzing data, creating models, and deriving insights
Skills & ToolsSQL, Python, Spark, ETL processes, data architectureStatistics, machine learning, Python/R, data visualization
CredentialsComputer science, engineering, or related degrees; certifications in data engineeringStatistics, data science, or related degrees; certifications in data analysis or machine learning
Work EnvironmentData engineering teams, data infrastructure projectsData analysis teams, research, and modeling projects

While both roles work closely with data, Quantitative Data Engineers focus on building and maintaining data systems, whereas Data Scientists analyze data to generate insights and models. They often collaborate but have distinct skill sets and responsibilities within data-driven organizations.

What are popular job titles related to Quantitative Data Engineer jobs in Miami, FL?

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

What job categories do people searching Quantitative Data Engineer jobs in Miami, FL look for?

The top searched job categories for Quantitative Data Engineer jobs in Miami, FL are:

What cities near Miami, FL are hiring for Quantitative Data Engineer jobs?

Cities near Miami, FL with the most Quantitative Data Engineer job openings:

Quantitative Data Engineer jobs near you
Infographic showing various Quantitative Data Engineer job openings in Miami, FL as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,018 per year, or $59.6 per hour.

Risk & Analytics Quantitative Analyst

BBVA Global Wealth Advisors

Miami, FL • On-site

Other

Posted 6 days ago

Key responsibilities

  • Support the development, maintenance, and validation of quantitative models and portfolio models.

  • Assist in portfolio analysis, construction, and optimization, including back-testing and risk attribution.

  • Design, build, and maintain data pipelines, monitoring tools, and reporting processes to support analytics and reporting activities.

Job description

The Risk & Analytics Quantitative Analyst is responsible for supporting the design, development, and maintenance of the models and quantitative framework used for asset allocation, portfolio construction, and portfolio analysis at GWA. The position reports to the Head of Risk & Analytics and works closely with the Investments team. The role is also responsible for maintaining the team’s data and analytics infrastructure across its various platforms.

The role requires strong quantitative and programming skills, bilingual communication skills (English/Spanish), and a solid understanding of financial markets, including fixed income, equities, ETFs, and mutual funds. The candidate will be involved in building, validating, and maintaining portfolio models; supporting portfolio analysis and construction; and automating the team’s data, analytics, and reporting processes.

Duties and Responsibilities:

  1. Portfolio Construction and Optimization: Support the development and maintenance of the portfolio construction tools and investment guidelines used by Advisory and DPM, including portfolio constraints, rebalancing rules, and implementation processes.
  2. Strategy Evaluation: Support the evaluation of new strategies, products, and investment vehicles—including ETFs, mutual funds, bonds, and individual equities—for use in model portfolios, and assist Investment Counselors with customized portfolio proposals.
  3. Quantitative Modeling and Portfolio Analytics: Research, develop, and validate quantitative models. Perform back-testing, stress testing, exposure and performance analysis, risk contribution and attribution analysis for current or proposed portfolios, and assess the impact of proposed changes before implementation.
  4. Model Governance and Documentation: Document methodologies, assumptions, data sources, and model versions to ensure reproducibility, regular validation, and a clear audit trail.
  5. Data & Quant Infrastructure: Design, build, and maintain monitoring tools, data pipelines, APIs, and automated processes that support reporting. Define, configure, and maintain portfolio management and advisory platforms, working with technical teams during implementation.
  6. Reporting and Monitoring: Prepare reports for the CIO and the Investment Committee. Produce materials for institutional and UHN clients. Prepare periodic factsheets for model portfolios and DPM, explaining quantitative metrics in clear, practical terms for advisors and clients.
  7. Fiduciary Analytics: Work closely with the Risk team to produce analyses and reports that support the firm’s fiduciary responsibilities.

Qualifications

  1. Bachelor’s or Master’s degree in Finance, Mathematics, Statistics, Economics, Computer Science, Engineering.
  2. Minimum 3+ years related experience.
  3. Programming skills, particularly in Python, R, MATLAB, SQL or equivalent.
  4. Proficiency in data analysis tools and financial platforms (e.g., Bloomberg, FactSet, SQL, Morningstar).
  5. Knowledge of financial markets, investment strategies, Equities, Fixed Income, Structure notes, ETFs and Mutual funds.
  6. Bilingual ( English/Spanish)
  7. Strong communication and team work skills.
  8. Ability to work independently and as part of a team in a fast-paced environment.
  9. Professional certifications such as CFA (Chartered Financial Analyst) and Series 65 are desirable.


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