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Algorithmic Trading Developer Jobs in Florida (NOW HIRING)

Da Vinci

Low Latency Engineer

Miami, FL · On-site

$133K/yr

... trading algorithms and architecture are highly competitive in a world where latency is key. Da ... All our software engineers take full ownership of projects directly relevant to the core business ...

Da Vinci

Low Latency Engineer

Miami, FL · On-site

$133K/yr

... trading algorithms and architecture are highly competitive in a world where latency is key. Da ... All our software engineers take full ownership of projects directly relevant to the core business ...

Citadel Securities

$4.5K - $5.8K/wk

... algorithms to modernize the quantitative trading industry. We're looking for extraordinary and ... Hands on programming experience in scripting (e.g. Python) and/or compiled languages (e.g. C++) * A ...

Citadel Securities

$4.5K - $5.8K/wk

Experience with translating mathematical models and algorithms into code (Python, R or C ... Our teams of engineers, traders and researchers harness leading-edge quantitative research and the ...

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Algorithmic Trading Developer information

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$44

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How much do algorithmic trading developer jobs pay per hour?

As of Sep 10, 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 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 are the key skills and qualifications needed to thrive as an algorithmic trading developer?

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 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.

How to become an algorithmic trading developer?

To become an algorithmic trading developer, you typically need a strong background in computer science, mathematics, or finance, with proficiency in programming languages such as Python, C++, or Java. Knowledge of financial markets, trading strategies, and experience with data analysis, algorithm design, and trading platforms are essential. Gaining relevant certifications or completing specialized courses can also enhance your qualifications.

What are popular job titles related to Algorithmic Trading Developer jobs in Florida?

For Algorithmic Trading Developer jobs in Florida, the most frequently searched job titles are:

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:

Algorithmic Trading Developer jobs near you
Infographic showing various Algorithmic Trading Developer job openings in Florida as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 76% In-person, 7% Hybrid, and 17% Remote job distribution, with an average salary of $93,294 per year, or $44.9 per hour.

Low Latency Engineer

Miami, FL • On-site

Da Vinci
See more jobs at Da Vinciexternal

$133K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 16 hours ago

Job description

About the Role
As a Low Latency Engineer at Da Vinci, you'll work closely with highly skilled traders, quant researchers, and C++ engineers. You will have direct, immediate, and large-scale impact on the business, by making sure our trading algorithms and architecture are highly competitive in a world where latency is key.
Da Vinci engineers are hired for their passion and knack for coding and solving technical challenges. They love to think outside the box and see their code in production as little as hours after the initial idea was coined. All our software engineers take full ownership of projects directly relevant to the core business, seeing them through from idea to implementation to optimisation and maintenance. Combined with the fast feedback loops and multidisciplinary collaboration, this lays the groundwork for an intellectually stimulating and exciting day-to-day life in our engineering team.
Da Vinci offers a dynamic work environment, where employees are given the freedom to come up with great ideas and the space to push these to completion. This is a unique opportunity to be part of a successful and fast-growing company.
Responsibilities:
As a Low Latency Engineer, no two days will be the same. Your main responsibility will be bringing our latency down by an extra micro- or nanosecond wherever possible. Here are some examples of typical tasks you may encounter in a day:
  • Understand and discuss requirements with team members, i.e. traders and researchers
  • Identify and eliminate code inefficiencies, continuously optimise for minimal latency in high-throughput network applications, ensuring our competitiveness in an ever-improving market
  • Build monitoring tools for all the components involved in the round-trip time to exchange using metrics software such as ClickHouse Grafana
  • Manage various operational aspects to bring your projects to completion, such as deploy, monitor and tweak systems
  • Proactively investigate opportunities and solve problems and as they occur with a hands-on, pragmatic approach

Requirements:
  • Extensive experience in developing C++ low-latency systems within a trading environment, with a deep understanding of modern computer architecture and high-performance code design.
  • Expertise in the architecture, configuration, and optimization of both network and server components, including network cards (e.g., Arista, Cisco Nexus, Cisco Fusion); knowledge of switches is a plus.
  • Proficient in using hardware performance counters and profiling tools to enhance application performance; familiarity with FPGA collaboration is a plus.
  • Solid experience with fast-packet processing in user space and kernel-bypass technologies (e.g., Solarflare OpenOnload, TCPDirect, ef_vi, Exablaze, InfiniBand verbs, DPDK).
  • Comfortable leveraging AI-assisted tools as part of your engineering workflow, with an appetite to explore how they can drive further performance improvements
  • Serious about code quality, taking full responsibility and accountability for your contributions
  • Enjoy using lean and efficient code to solve a wide variety of problems
  • Good communication skills, with the ability to understand requirements and explain technical concepts to non-technical people
  • Desire to work in a team environment, including collaborating with other departments, such as Trading and Research

Benefits:
  • An opportunity to work beside the best in the field
  • Competitive base salary
  • Excellent variable pay based on performance, with a fair bonus-structure awarding company profits to software engineers, traders and researchers alike
  • Outstanding performance is also rewarded with shareholding in the company
  • Relocation package when moving across states
  • Comprehensive benefits package including medical, dental, and vision insurance
  • 25 vacation days each year
  • Meals during work hours
  • Social events and after-work drinks

Our trading system:
As a trading company, one of our proudest moments was going live with our very own trading system, developed from scratch by our excellent engineers. Melzi, named after Leonardo Da Vinci's favourite student, was designed with our very own unique needs and priorities in mind. Since launching, our traders have been very excited to work with this custom-made and highly efficient system.

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