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Algorithmic Trading Developer Jobs in Florida (NOW HIRING)

Communications systems design Data link hardware development Algorithm development Digital signal ... Perform and/or evaluate concept and performance trade studies, link budget analyses and demonstrate ...

Communications systems design Data link hardware development Algorithm development Digital signal ... Perform and/or evaluate concept and performance trade studies, link budget analyses and demonstrate ...

Algorithm development * Digital signal processing What You Will Do * Perform and/or evaluate ... Perform hardware and software Communication Architecture trade studies. * Develop, prototype, and ...

Algorithm development * Digital signal processing What You Will Do * Perform and/or evaluate ... Perform hardware and software Communication Architecture trade studies. * Develop, prototype, and ...

Crypto Quant Researcher

Miami, FL · On-site

$250K - $350K/yr

... developing new trading strategies and algorithms. • Work with large data sets, including ... Our teams of engineers, traders and researchers harness leading-edge quantitative research and the ...

Algorithm development * Digital signal processing What You Will Do * Perform and/or evaluate ... Perform hardware and software Communication Architecture trade studies. * Develop, prototype, and ...

Algorithm development * Digital signal processing What You Will Do * Perform and/or evaluate ... Perform hardware and software Communication Architecture trade studies. * Develop, prototype, and ...

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Algorithmic Trading Developer information

See Florida salary details

$11

$44

$56

How much do algorithmic trading developer jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for algorithmic trading developer in Florida is $44.85, according to ZipRecruiter salary data. Most workers in this role earn between $40.77 and $53.17 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Algorithmic Trading Developer, and why are they important?

To thrive as an Algorithmic Trading Developer, you need strong programming skills (especially in Python, C++, or Java), a solid grasp of quantitative finance, and typically a degree in computer science, mathematics, or related fields. Expertise in trading platforms, financial data APIs, and familiarity with machine learning libraries and version control systems is common, alongside relevant certifications like CFA or CQF. Exceptional analytical thinking, attention to detail, and problem-solving abilities are crucial soft skills for success in this role. These capabilities enable developers to design, test, and optimize trading algorithms that perform reliably and profitably in dynamic financial markets.

What are some common challenges Algorithmic Trading Developers face when deploying new trading strategies?

Algorithmic Trading Developers often encounter challenges such as ensuring low-latency execution, accurately backtesting strategies with real-world data, and managing the risks of live trading. Deployment requires close collaboration with quantitative analysts, traders, and IT teams to validate models and maintain robust infrastructure. Additionally, developers must monitor for unexpected market conditions and quickly address any system failures or regulatory changes that could impact trading performance.

What is an Algorithmic Trading Developer?

An Algorithmic Trading Developer is a software professional who designs, builds, and maintains computer programs (algorithms) that automatically execute trades in financial markets. These developers combine knowledge of programming, quantitative analysis, and financial markets to create strategies that can analyze market data and place trades faster and more efficiently than human traders. Their work often involves working with large datasets, optimizing code for speed, and ensuring low-latency execution. They may also collaborate with traders and quantitative analysts to implement and test new trading ideas.

What is the difference between Algorithmic Trading Developer vs Quantitative Analyst?

AspectAlgorithmic Trading DeveloperQuantitative Analyst
Required CredentialsBachelor's or Master's in Computer Science, Finance, or related fields; programming skillsDegree in Mathematics, Statistics, Finance, or Economics; strong analytical skills
Work EnvironmentDevelops trading algorithms, codes, tests, and implements trading systemsBuilds models, analyzes data, and provides trading insights
Employer & Industry UsageFinancial firms, hedge funds, trading firms focusing on system developmentInvestment banks, hedge funds, asset managers focusing on data analysis

While both roles work within the finance industry and require quantitative skills, Algorithmic Trading Developers primarily focus on coding and implementing trading algorithms, whereas Quantitative Analysts analyze data and develop models to inform trading strategies.

What job categories do people searching Algorithmic Trading Developer jobs in Florida look for? The top searched job categories for Algorithmic Trading Developer jobs in Florida are:
Senior C++ Developer (with Market Data experience)

Senior C++ Developer (with Market Data experience)

Luxoft

Miami, FL • On-site

Other

This job post has expired today. 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)
Other
Languages
English: B2 Upper Intermediate
Seniority
Senior