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Entry Level Algorithmic Trading Quant Jobs in Florida

Low Latency Engineer

Miami, FL

$133K/yr

... 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 ...

Low Latency Engineer

Miami, FL · On-site

$133K/yr

... 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 ...

Your work will enable researchers/analysts/traders to leverage the most advanced AI algorithms ... Our teams of engineers, traders and researchers harness leading-edge quantitative research and the ...

Machine Learning Engineer

Miami, FL · On-site

$80 - $120/hr

They'll be working on cutting edge Quantitative Data Analysis and Machine Learning challenges. Our ... Utilize knowledge of classical machine learning and deep learning algorithms to address specific ...

Data Analyst

Miami, FL · On-site +1

$75K - $85K/yr

This role offers a unique opportunity to work directly with pricing, sales, supply, and trading ... Or a related quantitative field Experience * Internship, co-op, research, or academic project ...

Data Analyst

Miami, FL · On-site +1

$75K - $85K/yr

This role offers a unique opportunity to work directly with pricing, sales, supply, and trading ... Or a related quantitative field Experience * Internship, co-op, research, or academic project ...

Showing results 21-31

Entry Level Algorithmic Trading Quant information

What does an entry level algorithmic trading quant do?

An Entry Level Algorithmic Trading Quant is responsible for developing, testing, and implementing mathematical models and computer algorithms to execute trades in financial markets automatically. They analyze large datasets to identify trading opportunities, optimize trading strategies, and manage risks. Typically, they work closely with senior quants, software engineers, and traders to ensure the performance and reliability of trading systems. Their role often includes coding, statistical analysis, and monitoring live trades to ensure algorithms function as intended.

What are the key skills and qualifications needed to thrive as an entry level algorithmic trading quant?

To thrive as an Entry Level Algorithmic Trading Quant, you need strong quantitative skills, programming proficiency (often in Python or C++), and at least a bachelor's degree in a technical field such as mathematics, computer science, or engineering. Familiarity with data analysis tools, financial modeling software, and version control systems like Git is typically required, and knowledge of financial markets or certifications like CFA can be beneficial. Analytical thinking, attention to detail, and effective teamwork are crucial soft skills that set high performers apart. These competencies enable quants to develop robust trading strategies, identify market opportunities, and collaborate efficiently in a high-stakes, fast-paced environment.

What are some common challenges faced by entry level algorithmic trading quants during their first year on the job?

Entry-level algorithmic trading quants often encounter challenges such as adapting to fast-paced environments where quick decision-making and consistent performance are essential. They may need to bridge the gap between academic theory and real-world market behavior, learning to develop, backtest, and refine trading strategies under time constraints. Collaborating with traders, developers, and risk managers is also crucial, requiring strong communication skills to ensure strategies are both technically sound and aligned with business goals. Additionally, staying current with evolving market data and technology platforms is a constant learning curve.

What is the difference between Entry Level Algorithmic Trading Quant vs Quantitative Research Analyst?

AspectEntry Level Algorithmic Trading QuantQuantitative Research Analyst
Required CredentialsBachelor's in Math, CS, or Finance; programming skillsBachelor's or Master's in Math, Stats, or Finance; programming skills
Work EnvironmentTrading firms, hedge funds, financial institutionsResearch labs, financial firms, asset managers
Employer & Industry UsageHigh-frequency trading, algorithmic trading teamsResearch-focused, model development for investments
Comparison Search IntentYesYes

Entry Level Algorithmic Trading Quants focus on developing trading algorithms used in live markets, often working directly with trading desks. Quantitative Research Analysts primarily conduct research to develop models and strategies that inform investment decisions. While both roles require strong quantitative skills and programming knowledge, the Trading Quant emphasizes implementation in trading environments, whereas the Research Analyst emphasizes model development and analysis.

What are the most commonly searched types of Algorithmic Trading Quant jobs in Florida?

The most popular types of Algorithmic Trading Quant jobs in Florida are:

What are popular job titles related to Entry Level Algorithmic Trading Quant jobs in Florida?

For Entry Level Algorithmic Trading Quant jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Entry Level Algorithmic Trading Quant jobs in Florida look for?

The top searched job categories for Entry Level Algorithmic Trading Quant jobs in Florida are:

What cities in Florida are hiring for Entry Level Algorithmic Trading Quant jobs?

Cities in Florida with the most Entry Level Algorithmic Trading Quant job openings:

Infographic showing various Entry Level Algorithmic Trading Quant job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Sr Energy Market Analyst (Engineering)

NextEra Energy

Juno Beach, FL

Full-time

Re-posted 10 days ago


NextEra Energy rating

8.3

Company rating: 8.3 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

23rd of 53 rated energy and utility


Job description

Requisition ID:  96128 

NextEra Analytics offers energy consulting services using industry-leading scientific analysis for planning, siting, forecasting and optimizing all forms of energy projects. Our optimization and analytics platforms integrate open-source technologies to leverage massive, diverse sets of utility operating data. This enables rapid development of operational solutions. Applying expertise in advanced mathematics, data and physical sciences, we solve some of the hardest problems facing the energy industry.
 

Position Specific Description

We are seeking a Senior Energy Quantitative Analyst to develop and optimize models for renewable energy generation, energy storage systems, and traditional utility assets. This role combines advanced quantitative analysis with power systems expertise to solve complex energy optimization problems. The analyst will develop mathematical models, perform quantitative studies of energy markets, and support trading, origination, and asset optimization decisions through sophisticated analytical tools and algorithms.

Key Responsibilities 

Perform pre-construction size optimizations for renewable generators (distributed/behind-the-meter and utility-scale), battery storage systems, and traditional generators

Develop and improve mathematical models and optimization algorithms using Python, R, and Excel

Optimize generator mix and sizing to serve electrical loads while meeting carbon reduction goals Work with trading and origination teams to interpret model valuations and respond to structured transaction requests

Design and construct risk management tools for evaluating company risk profiles and exposure levels

Review and provide feedback on technical documentation, software architecture, and project plans

Incorporate quantitative studies and analyses of spot/forward energy prices and volatilities for pricing, trading, and risk management into design optimization.

Possess knowledge of the principles involved in developing energy price forecasts, forward curves, and volatility models and apply these insights in making informed modeling decisions.

 

Preferred Qualifications 

Master's Degree in Engineering, Mathematics, Finance, Economics, or related quantitative field

2+ years of experience in quantitative analysis, energy markets, or related field

Advanced proficiency in Python and/or R programming with 2+ years of commercial software development experience

Strong mathematical and statistical modeling capabilities

 Power flow modeling experience or software development for power flow applications 

 Transmission planning and system analysis experience 

 Contingency analysis and power system reliability assessment skills 

Experience with distributed generation and behind-the-meter renewable solutions

Knowledge of utility tariff structures and integrated resource planning

Experience with energy market participation rules (Day-Ahead and Real-Time markets)

Proficiency with Python libraries: NumPy, Pandas, StatsModels, Matplotlib/Seaborn, Scikit-Learn, SciPy

Experience with code refactoring, OOP in Python/R, and package management

Unix/Linux and Windows development experience; AWS experience a plus

Web development, data visualization, or GUI development skills (RShiny, plotly, bokeh, Jupyter)

Knowledge of renewable energy and battery storage technologies


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