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Forex Analyst Jobs in Florida (NOW HIRING)

Forex Analyst information

See Florida salary details

$4

$38

$128

How much do forex analyst jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for forex analyst in Florida is $38.48, according to ZipRecruiter salary data. Most workers in this role earn between $18.57 and $41.74 per hour, depending on experience, location, and employer.

What is a forex analyst?

A Forex Analyst is a financial professional who studies currency markets to provide insights and forecasts on exchange rate movements. They use technical analysis, fundamental analysis, and economic data to assess market trends and help traders or financial institutions make informed decisions. Forex Analysts may work for banks, hedge funds, brokerage firms, or financial news outlets. Their role involves monitoring global economic events, geopolitical developments, and central bank policies that impact currency markets.

What does a forex analyst do?

As a Forex Analyst, your daily tasks typically include monitoring global currency markets, conducting technical and fundamental analysis, preparing regular reports or briefings for traders or clients, and identifying potential trading opportunities. You’ll often work closely with traders, portfolio managers, and other research analysts to interpret economic news and assess its impact on foreign exchange rates. The role also involves updating models, managing data feeds, and sometimes interacting with clients or senior management to communicate key findings. This fast-paced environment requires attention to detail and adaptability, as market conditions can shift rapidly.

What skills and qualifications are needed to be a forex analyst?

To thrive as a Forex Analyst, you need strong analytical skills, a deep understanding of macroeconomics and financial markets, and at least a bachelor's degree in finance, economics, or a related field. Proficiency with statistical analysis software, trading platforms like MetaTrader, and certifications such as the Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM) are often preferred. Excellent communication, critical thinking, and the ability to work well under pressure distinguish top-performing analysts. These skills and qualifications are crucial for accurately assessing market trends, delivering actionable insights, and supporting effective trading strategies.

How do you become a forex analyst?

To become a forex analyst, you typically need a bachelor's degree in finance, economics, or a related field, along with strong analytical skills and knowledge of financial markets. Gaining experience through internships or entry-level roles and obtaining certifications like the Chartered Financial Analyst (CFA) can enhance prospects. Proficiency with trading platforms and data analysis tools is also beneficial.

What cities in Florida are hiring for Forex Analyst jobs?

Cities in Florida with the most Forex Analyst job openings:

Infographic showing various Forex Analyst job openings in Florida as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $80,036 per year, or $38.5 per hour.

AI ML Quantitative Researcher - Alpha Discovery ( Hybrid )

Nurp

Miami, FL • Hybrid

$200K - $500K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 14 days ago


Key responsibilities

  • Develop machine learning models that evaluate and select financial signals across multiple quantitative strategies, determining which trades to execute based on market conditions, diversification impact, and correlation behavior.

  • Design ML driven frameworks to combine and weight signals dynamically, improving portfolio level performance and robustness.

  • Build automated ML based monitoring systems for live strategies to assess expected performance, identify underperforming trades, and support real time risk management.


Job description


POSITION SUMMARY

Nurp is seeking a senior AI ML quantitative researcher to deepen and scale our alpha discovery and portfolio decision making capabilities. This role is focused on applying advanced machine learning to existing quantitative strategies, signals, and live portfolios rather than purely theoretical research.

You will work directly with production strategies, proprietary data, and live trading systems to determine which signals are selected, how risk is managed in real time, and how existing strategies can be enhanced through ML driven intelligence. The ideal candidate has built or conceived trading algorithms in a financial institution and has hands-on experience applying ML to real portfolio outcomes.
This role will work out of our Miami office three days per week and remotely for the remaining two days 

This position offers a competitive annual salary ranging from $200,000 to $400,000 plus a meaningful revenue share component.

ABOUT THE COMPANY 

Nurp builds smart trading algorithms that help people trade more effectively across multiple markets, including forex, gold, and more. We’re reshaping the way people invest by using powerful, data-driven technology instead of outdated methods. At Nurp, we’re focused on growth, both in the markets we serve and in the people we hire. This is a place for driven, results-oriented individuals who want to take ownership, learn quickly, and make an impact. You’ll work alongside a talented team, contribute to meaningful projects, and help shape the future of algorithmic trading. We move fast and wear many hats, creating constant opportunities for personal and professional growth.

KEY RESPONSIBILITIES

  • Develop machine learning models that evaluate and select financial signals across multiple quantitative strategies, determining which trades to execute based on market conditions, diversification impact, and correlation behavior.

  • Design ML driven frameworks to combine and weight signals dynamically, improving portfolio level performance and robustness.

  • Build automated ML based monitoring systems for live strategies to assess expected performance, identify underperforming trades, and support real time risk management.

  • Apply machine learning techniques to dynamically manage exposure, directional bias, and risk as market conditions evolve.

  • Enhance existing quantitative strategies using ML, including improvements to entry and exit timing, position sizing, and market regime detection.

  • Own feature engineering and data experimentation using market data, strategy outputs, and portfolio level signals to improve model performance.

  • Collaborate closely with quantitative strategists and developers to ensure models are production ready and integrated into live trading systems.

  • Define data requirements and maintain reliable research and production pipelines that support ongoing ML driven strategy improvement.

  • Perform other related duties as necessary or assigned.

KEY COMPETENCIES

  • Proven Alpha Generation A demonstrated, institutional track record of developing or conceiving trading algorithms or signals with measurable portfolio impact.

  • Expert Level Machine Learning Deep expertise in machine learning techniques, statistical modeling, and predictive analytics applied to financial markets.

  • Technical Proficiency Strong proficiency in Python and core data science libraries including Pandas, NumPy, Scikit learn, TensorFlow, or PyTorch.

  • Portfolio and Risk Mindset Ability to think at the portfolio level, balancing alpha generation, correlation, and risk management.

  • Collaborative Execution Strong communication and collaboration skills to work effectively with quantitative researchers, engineers, and product teams.

  • Financial Market Acumen Deep understanding of market structure, trading strategies, and what constitutes deployable alpha.

EDUCATION AND EXPERIENCE 

  • Master's or Ph.D. in quantitative finance, financial engineering, computer science, or a related field.

  • At least 5 years of Proven experience applying machine learning techniques and trading algorithms to financial markets.

  • At least 7 years of experience working within a financial institution, hedge fund, prop desk, or fintech company.

  • Proficiency in Python, R, or MATLAB and familiarity with machine learning frameworks.

  • In-depth understanding of financial markets, trading strategies, and risk management principles.

  • Strong analytical and problem-solving skills.

BENEFITS

  • Revenue share compensation component 

  • Health insurance.

  • Dental insurance.

  • Vision Insurance.

  • Voluntary Life Insurance.

  • Paid Time Off.

  • Opportunities for professional development and training.

  • Access to our product and services at significant discounts and, in some instances, free


COMMITMENT TO DIVERSITY

Nurp is an equal opportunity employer committed to fostering an inclusive and diverse workforce. We encourage applicants from all backgrounds to apply, regardless of race, color, religion, age, national origin, gender, gender identity, sexual orientation, or disability.