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Algorithmic Trading Jobs in Florida (NOW HIRING)

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 ...

Senior Platform Engineer

Miami, FL · On-site

$99K - $137K/yr

... algorithmic and data-structure problems where correctness and performance both matter • Participate in code reviews, design discussions, and promote engineering best practices • Communicate trade ...

We believe the future of business lies not in faceless bots or generic algorithms, but in authentic ... Participating in brand events, trade shows, or pop-up activations. * Sharing customer insights and ...

Low Latency Engineer

Miami, FL · 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 Florida salary details

$55.7K

$64.1K

$70.2K

How much do algorithmic trading jobs pay per year?

As of Jul 16, 2026, the average yearly pay for algorithmic trading in Florida is $64,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $68,000.00 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.

How to become an algorithmic trader?

To become an algorithmic trader, you should develop strong programming skills in languages like Python or C++, gain knowledge of financial markets and trading strategies, and learn to use trading platforms and data analysis tools. A background in mathematics, statistics, or computer science is often essential, and many traders pursue certifications such as the Chartered Market Technician (CMT) or Financial Risk Manager (FRM). Experience with backtesting and risk management is also important for success in this field.

Is algo trading a good career?

Algorithmic trading is a specialized career that involves developing and implementing automated trading strategies using programming skills, data analysis, and financial knowledge. It can be lucrative and in demand in financial firms, but it requires strong technical expertise, continuous learning, and understanding of market regulations. Success in this field depends on technical proficiency, risk management, and staying updated with market trends.

Who is the richest Algo trader in the world?

Algorithmic trading is a specialized finance role involving the use of algorithms and programming skills to execute trades. While individual net worth is often private, some of the most successful algorithmic traders and quant hedge fund managers, such as Jim Simons, have accumulated significant wealth through quantitative strategies and advanced data analysis. These professionals typically work in high-frequency trading firms or hedge funds and require strong mathematical, programming, and financial skills.

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.

Can I make money with algorithmic trading?

Algorithmic trading professionals develop and implement automated trading strategies that can generate profits if the algorithms are well-designed and market conditions are favorable. Success depends on skills in programming, data analysis, and risk management, and consistent profitability is not guaranteed. Many traders experience both gains and losses, and ongoing testing and optimization are essential for potential profitability.

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 Florida? The most popular types of Algorithmic Trading jobs in Florida are:
What are popular job titles related to Algorithmic Trading jobs in Florida? For Algorithmic Trading jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Algorithmic Trading jobs in Florida look for? The top searched job categories for Algorithmic Trading jobs in Florida are:
What cities in Florida are hiring for Algorithmic Trading jobs? Cities in Florida with the most Algorithmic Trading job openings:
Principal RF Data Link Engineer

Principal RF Data Link Engineer

Raytheon

Orlando, FL

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Raytheon rating

9.1

Company rating: 9.1 out of 10

Based on 96 frontline employees who took The Breakroom Quiz

3rd of 528 rated manufacturers


Job description

Date Posted:

2026-03-26

Country:

United States of America

Location:

US-AZ-TUCSON-M02 ~ 1151 E Hermans Rd ~ BLDG M02

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Active and transferable U.S. government issued security clearance is required prior to start date.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance​

Security Clearance Type:

DoD Clearance: Secret

Security Clearance Status:

Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.

The Advanced Effector Guidance Systems is currently searching for Electrical Engineers who have experience designing wireless communication and data links. This position focuses on designing and testing wireless communication and data link systems, supporting a range of tactical missile programs. As part of the RF Products department, you will contribute to cutting-edge advancements in high-capacity, covert, and agile data link technologies for space-based and terrestrial RF applications.

The Data Link subsystems team develops the next generation of high capacity, covert, and agile data links. From space based to terrestrial RF links, Raytheon develops RF data link subsystems for the most challenging environments. As a member of this team within the RF Products department your tasks may include:

Communications systems design

Data link hardware development

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 data link communication applications.

  • Perform hardware and software Communication Architecture trade studies.

  • Develop, prototype, and test data link models and communication signal processing algorithms in detailed high-fidelity simulations and support hardware implementation.

  • Testing, verifying and validating communication and signal processing algorithm requirements and performance in laboratory or field test environments.

  • Provide engineering support through participation in project design reviews, peer reviews, briefings to internal leadership and external customers for all phases of development tasks.

Qualifications You Must Have

  • Typically requires a Bachelors Degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience 

  • A minimum of 8 years of experience in programming and / or simulation experience in MATLAB, SIMULINK, C/C++, or equivalent language.

  • Five (5) years of experience in three or more of the following categories:

  • Communication theory

  • Digital signal processing

  • Probability theory

  • Stochastic signal processing

  • RF and electromagnetic theory

Qualifications We Prefer

  • Master’s degree in electrical engineering or computer engineering with a focus on digital communications, communications systems design, data link hardware, development, waveform algorithm development, or digital signal processing.

  • Experience collaborating with and guiding cross-functional teams, including hardware and software engineers, to support integration efforts.

  • Experience with RF subsystems analysis and integration.

  • Hands-on experience with waveform simulations using modulation schemes such as PSK, FSK, OFDM, and QAM.

  • Knowledge of RF impairments (e.g., phase noise, multipath, Doppler).

  • Proficiency in link budget and propagation modeling for end-to-end system evaluation.

  • Strong understanding of RF transceiver and front-end design, including trade-offs in RF designs for communication systems.

  • Familiarity with antenna design parameters.

  • Experience with fixed-point algorithm simulations for VHDL verification and wireless fading model simulations.

  • Knowledge of Layer 2 and above communication protocols.

  • Strong technical, analytical, and interpersonal skills.

What We Offer

Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation.

This position is an onsite role, located in Tucson, AZ and is eligible for relocation assistance.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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