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Quantitative Developer Jobs in Miami, FL (NOW HIRING)

Qfanalytics

Machine Learning Engineer

Miami, FL · On-site

$100 - $125/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;

Millennium Management LLC

Cloud Engineer

Miami, FL · On-site

$53.25 - $71.25/hr

Meet the Team The Developer Services team architects, engineers, and enhances developer toolchains and workflows for the firm. We collaborate closely with developers, quants, researchers, and front ...

pipingrock

Mechanical Engineer Intern

Fort Lauderdale, FL

$17.50 - $23.50/hr

Under the direction of the Sr. Plant Engineering Manager, the Mechanical Engineer intern will ... Strong quantitative ability interpersonal communication and organization skills * Must be able to ...

Piping Rock

Mechanical Engineer Intern

Sunrise, FL · On-site

$22 - $24/hr

Under the direction of the Sr. Plant Engineering Manager, the Mechanical Engineer intern will ... Strong quantitative ability interpersonal communication and organization skills * Must be able to ...

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All JobsQuantitative Developer JobsQuantitative Developer Jobs in Miami, FL

Quantitative Developer information

See Miami, FL salary details

$93.7K

$162.3K

$248.2K

How much do quantitative developer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for quantitative developer in Miami, FL is $162,336.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,600.00 and $190,300.00 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.

More about Quantitative Developer jobs

What are the most commonly searched types of Quantitative Developer jobs in Miami, FL?

The most popular types of Quantitative Developer jobs in Miami, FL are:

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

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

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

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

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

Quantitative Developer jobs near you
Infographic showing various Quantitative Developer job openings in Miami, FL as of September 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 62% In-person, 13% Hybrid, and 25% Remote job distribution, with an average salary of $162,336 per year, or $78 per hour.

Senior C++ Developer (with Market Data experience)

Miami, FL • On-site

Luxoft
Computer and Computer Peripheral Equipment and Software Wholesalers • 10K+ employees
Learn more about Luxoftexternal

Other

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

Project description

We are looking for a C++ engineer to design and build high performance, low latency applications that process large volumes of real time data. You will work on systems where microseconds and throughput matter, optimizing every layer from algorithms and data structures to networking and OS interaction. Compensation for NYC 140000-200000 USD Gross per year based on the interview process results.

Responsibilities
  • Design, implement, and maintain high performance C++ services handling high message rates and low latency workloads.
  • Optimize existing components for latency, throughput, and CPU/memory efficiency.
  • Develop and tune networking, messaging, and I/O layers to handle large data volumes reliably.
  • Profile and debug performance issues at application, OS, and network levels.
  • Collaborate with quantitative, trading, and infrastructure teams (or analogous business/tech teams) to translate requirements into robust technical solutions.
  • Write clean, production quality code with appropriate tests and documentation.
  • Participate in code reviews, design discussions, and continuous improvement of engineering practices.
SKILLS Must have
  • Strong proficiency in modern C++ (C++17/20 or later)
  • Hands-on experience with Market Data
  • Solid understanding of concurrency and synchronization (lock free / low lock patterns, atomics, memory models, etc.)
  • Proven experience building performance critical, real time, or low latency systems (e.g., networking, trading systems, telemetry, gaming engines, or similar)
  • Strong knowledge of computer science fundamentals: data structures, algorithms, memory management, and optimization
  • Practical experience with Linux systems programming (sockets, epoll/select, threads, memory management, CPU affinity, etc.)
  • Experience using profiling, benchmarking, and performance analysis tools (e.g., perf, valgrind, flame graphs, CPU/memory profilers)
  • Proficiency with version control (Git) and standard build systems (CMake, Ninja, etc.)
  • Excellent problem-solving skills and attention to detail; ability to work in a fast-paced environment.
Nice to have
  • Experience with kernel bypass or user space networking technologies (e.g., DPDK, RDMA, VMA, Solarflare/OpenOnload) - helpful but not required.
  • Experience in financial markets, market data distribution, order routing, or exchange connectivity.
  • Familiarity with common market data protocols (e.g., FIX, MDP, ITCH, proprietary exchange feeds) is a plus.
  • Experience with multicast, low latency networking, and clock synchronization (e.g., PTP).
  • Exposure to hardware aware optimization (NUMA, cache optimization, vectorization/SIMD, CPU pinning).
  • Experience with monitoring/telemetry for high performance systems (latency histograms, throughput metrics, SLAs).
  • Familiarity with scripting languages (e.g., Python, Bash) for tooling and automation.
  • KDB+
  • Data Analysis with python (pytorch, pandas, arrow)
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