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Algorithmic Trading Jobs in Miami, FL (NOW HIRING)

Perform hardware and software Communication Architecture trade studies. * Develop, prototype, and test data link models and communication signal processing algorithms in detailed high-fidelity ...

Conceptualize valuation strategies, develop and continuously improve upon mathematical models, and help translate algorithms into code * Back test and implement trading models and signals in a live ...

Conceptualize valuation strategies, develop and continuously improve upon mathematical models, and help translate algorithms into code * Back test and implement trading models and signals in a live ...

Algorithm development * Digital signal processing What You Will Do * Perform and/or evaluate concept and performance trade studies, link budget analyses and demonstrate developed capabilities for ...

Algorithm development * Digital signal processing What You Will Do * Perform and/or evaluate concept and performance trade studies, link budget analyses and demonstrate developed capabilities for ...

Low Latency Engineer

Miami, FL ยท On-site

$133K/yr

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 ...

Low Latency Engineer

Miami, FL ยท On-site

$133K/yr

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 ...

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Algorithmic Trading information

See Miami, FL salary details

$71.1K

$81.9K

$89.8K

How much do algorithmic trading jobs pay per year?

As of Aug 10, 2026, the average yearly pay for algorithmic trading in Miami, FL is $81,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,400.00 and $86,900.00 per year, depending on experience, location, and employer.

What is algorithmic trading?

Algorithmic trading involves trading in equities, currencies, or other financial instruments using computer programs. A trading program uses an algorithm to calculate current market conditions. This trading method is automated, so the program buys or sells the financial instrument when the algorithm says that the market meets all the requirements for a profitable trade. To create an algorithm, you perform mathematical and statistical analysis, also known as quantitative analysis, on an exchange or equity. After creating an algorithm with defined trading rules, you test it using historical market data. While this is primarily a technical field, you also need an understanding of the market.

What is algorithmic trading?

Algorithmic trading refers to the use of computer programs and algorithms to automatically execute trading orders in financial markets. These algorithms follow predefined rules based on factors like price, timing, and volume to optimize trading strategies and reduce human intervention. Algorithmic trading is widely used by institutional investors, hedge funds, and individual traders to increase efficiency, minimize costs, and capitalize on market opportunities. It can range from simple rule-based systems to complex strategies involving machine learning and artificial intelligence.

What is the difference between Algorithmic Trading vs Quantitative Analyst?

AspectAlgorithmic TradingQuantitative Analyst
Required CredentialsDegree in finance, computer science, or related field; programming skillsDegree in mathematics, statistics, or finance; strong analytical skills
Work EnvironmentTrading firms, hedge funds, financial institutions; fast-pacedInvestment banks, asset management firms; research-focused
Employer & Industry UsageUsed to automate trading strategiesDevelops models to inform trading decisions

While both roles involve quantitative skills and finance knowledge, Algorithmic Traders focus on implementing automated trading systems, whereas Quantitative Analysts develop models and strategies that may be used by traders or firms. The roles often overlap but differ mainly in their primary focus: execution versus modeling.

What are the main challenges faced by professionals in algorithmic trading, and how can they be addressed?

Professionals in algorithmic trading often encounter challenges such as developing strategies that remain effective in rapidly changing markets, minimizing latency for faster execution, and managing the risks associated with automated trading systems. To address these challenges, it's essential to stay updated with the latest market trends and technological advancements, conduct rigorous backtesting of algorithms, and implement robust risk management protocols. Collaboration with quantitative analysts, software engineers, and risk managers is also key to ensuring strategies are both innovative and resilient.

Do algorithmic traders make money?

Algorithmic traders can make money by developing and implementing automated trading strategies that exploit market opportunities. Success depends on skills in programming, quantitative analysis, and risk management, and profitability varies based on strategy performance and market conditions. Not all algorithmic traders are profitable, and many face significant competition and operational costs.

What are the key skills and qualifications needed to thrive as an algorithmic trader, and why are they important?

To thrive as an Algorithmic Trader, you need a strong background in quantitative analysis, programming (often Python, C++, or Java), and a solid understanding of financial markets, typically supported by a degree in mathematics, engineering, finance, or computer science. Familiarity with statistical modeling tools, trading platforms, and backtesting systems is essential, and certifications such as CFA or FRM can be advantageous. Superior problem-solving skills, attention to detail, and the ability to work under pressure set standout professionals apart in this field. These skills are crucial to developing, implementing, and refining trading strategies that can operate profitably and reliably in fast-moving financial environments.
What are the most commonly searched types of Algorithmic Trading jobs in Miami, FL? The most popular types of Algorithmic Trading jobs in Miami, FL are:
What are popular job titles related to Algorithmic Trading jobs in Miami, FL? For Algorithmic Trading jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Algorithmic Trading jobs in Miami, FL look for? The top searched job categories for Algorithmic Trading jobs in Miami, FL are:
What cities near Miami, FL are hiring for Algorithmic Trading jobs? Cities near Miami, FL with the most Algorithmic Trading job openings:
Infographic showing various Algorithmic Trading job openings in Miami, FL as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $81,886 per year, or $39.4 per hour.

Quantitative Trader - Intern (US)

Citadel Securities

Miami, FL โ€ข On-site

$112.50 - $145/hr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Description

At Citadel Securities, our quantitative traders make complex risk decisions, model markets, and bring trading strategies to life every day. As a markets and trading expert, you'll use predictive analytics and sophisticated statistical techniques to monitor risk, respond to market signals and develop trading strategies across Options, ETFs, Equities, Fixed Income, Commodities and Currencies.

As an intern, you'll get to challenge the impossible in trading and research through a summer-long program that will allow you to collaborate and connect with senior team members. In addition, you'll get the opportunity to network and socialize with peers throughout the internship.

Your Objectives:

  • Develop in-depth knowledge of a financial market
  • Innovate by using one of the industry's most powerful trading platforms
  • Conceptualize valuation strategies, develop, and continuously improve upon mathematical models.
  • Design, build, and implement predictive models to generate novel trading signals.
  • Use unconventional data sources to drive innovation.
  • Conduct research and statistical analysis to build and refine monetization systems for trading signals.

Your Skills & Talents:

  • Bachelor's, master's or PhD in applied math, engineering, statistical modeling, calculus, computer science, physics or related disciplines required
  • Ability to think about the world systematically and quantitatively, as well as the ability to deal with uncertainty in a rigorous and statistical approach
  • Experience with modern AI concepts such as Large Language Models (LLMs) and agentic systems is highly desirable.
  • Expertise in translating mathematical models and algorithms into code (Python, R or C++).
  • Ability to manage multiple tasks and thrive in a fast-paced team environment.
  • Excellent analytical skills, with strong attention to detail.
  • Strong written and verbal communication skills.

Opportunities available in Miami and New York.

In addition to weekly pay, interns may be eligible for a highly competitive sign-on bonus, housing stipend or covered living accommodations, company-sponsored travel, and a variety of on-site benefits, including access to on-site fitness and wellness amenities, catered meals, and social and networking events.

In accordance with applicable law, the base salary range for this role is $4,500 to $5,800 per week. About Citadel Securities

Citadel Securities is a technology-driven, next-generation global market maker. We provide institutional and retail investors with world-class liquidity, competitive pricing and seamless front-to-back execution in a broad array of financial products. Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market's and our clients' most critical challenges. Together, we are forging the future of capital markets. For more information, visit citadelsecurities.com .