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Python Financial Jobs in Florida (NOW HIRING)

Proficiency in Python, R, or MATLAB for financial modeling, data analysis, Monte Carlo simulation, and Quickbooks. * Experience with financial databases (e.g., Bloomberg, FactSet, Morningstar ...

Financial Analytics Engineer Compensation: Up to $120,000 (DOE) Location: Orlando, FL (Hybrid ... Experience using Python, R, or similar programming languages for automation, analytics, or modeling

We are seeking a Financial Data Analyst to own the integrity, structure, and usability of financial ... Python - a plus. * Experience with BI tools (Tableau, Looker, Power BI) - a plus. Skills ...

Sr Financial Analyst

Miami, FL ยท On-site

$81K - $101K/yr

Assists in developing financial models to be used in business decisions. * Tests newly developed ... as SQL, Python or R, interest in or exposure to AI & ML applications. For details on our ...

We are seeking a Financial Data Analyst to own the integrity, structure, and usability of financial ... Python - a plus. * Experience with BI tools (Tableau, Looker, Power BI) - a plus. Skills ...

Experience with SQL, Python, or other analytical tools is a plus * Communication & Influence You communicate complex financial concepts clearly and effectively while influencing senior leaders and ...

Financial Analysis Manager

Fort Lauderdale, FL ยท On-site

$100K - $132K/yr

Experience with SQL, Python, or other analytical tools is a plus * Communication & Influence You communicate complex financial concepts clearly and effectively while influencing senior leaders and ...

Experience with SQL, Python, or other analytical tools is a plus * Communication & Influence You communicate complex financial concepts clearly and effectively while influencing senior leaders and ...

Showing results 41-60

Python Financial information

See Florida salary details

$9

$43

$64

How much do python financial jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for python financial in Florida is $43.81, according to ZipRecruiter salary data. Most workers in this role earn between $36.11 and $49.76 per hour, depending on experience, location, and employer.

What is a Python Financial?

A Python Financial job involves using Python programming to analyze financial data, develop trading algorithms, automate financial processes, or build risk models. Professionals in this role may work in banking, fintech, investment firms, or insurance, leveraging Python libraries like Pandas, NumPy, and Scikit-learn for data analysis and machine learning. These roles often require knowledge of financial markets, quantitative analysis, and data processing to optimize decision-making and strategy development.

What do Python Financial professionals do?

Python Financial professionals commonly work on building and maintaining financial models, analyzing large datasets for trends or anomalies, and automating data collection and reporting processes. They often collaborate with other analysts and finance teams to develop tools that improve efficiency or support investment decisions. Additionally, they may create data visualizations, backtest trading algorithms, and present findings to stakeholders. The work is typically fast-paced and project-driven, offering opportunities to contribute directly to financial strategy and performance.

What are the key skills and qualifications needed to thrive in the Python Financial position?

To thrive as a Python Financial professional, you need strong programming skills in Python, a background in finance or quantitative analysis, and experience with data analysis and modeling. Familiarity with libraries such as pandas, NumPy, and financial data APIs, along with knowledge of tools like Jupyter notebooks and relevant certifications (e.g., CFA or Financial Risk Manager), is important. Attention to detail, analytical thinking, and the ability to communicate complex findings clearly are valuable soft skills in this role. These competencies enable individuals to extract insights from data, automate financial processes, and support effective business decision-making.

Is Python useful in finance?

Python is highly useful for finance professionals, including those in quantitative analysis, trading, and risk management. It is widely used for data analysis, modeling, and automation due to its extensive libraries like pandas, NumPy, and scikit-learn. Proficiency in Python can enhance efficiency and accuracy in financial tasks and is often a key skill for finance-related roles.

What finance jobs require Python?

Finance jobs that require Python include quantitative analyst, financial analyst, risk manager, and algorithmic trader roles. These positions often involve data analysis, modeling, and automation, with proficiency in Python libraries such as pandas, NumPy, and scikit-learn being essential.

What are the most commonly searched types of Python Financial jobs in Florida?

The most popular types of Python Financial jobs in Florida are:

Infographic showing various Python Financial job openings in Florida as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 100% In-person job distribution, with an average salary of $91,119 per year, or $43.8 per hour.

Financial Analyst

My Investment Path

Coral Gables, FL โ€ข On-site

Full-time

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


Job description

We are seeking a detail-oriented and client-focused Financial Analyst to join our growing RIA firm. The Financial Analyst will be responsible for supporting the investment decision-making process, conducting research, building financial models, and creating reports that inform the firm’s, firm advisors, and its clients’ investment strategies. This role is a key part of the investment process, ensuring that portfolios are constructed and managed according to modern portfolio theory and regulatory requirements. This role requires a unique blend of technical skills, financial acumen, and client service skills. This person will support other metrics for corporate retirement accounts, download data, support corporate retirement proposals and assist with internal bookkeeping.

Key Responsibilities:

  • Portfolio Construction: Support the construction and optimization of client portfolios using Modern Portfolio Theory (MPT) and optimization techniques, optimizing portfolios for risk-adjusted returns. Includes balancing portfolios assessment.
  • Financial Planning: Assist in creating comprehensive financial plans for clients, including cash flow projection, goal setting, and strategy selection. Including corporate retirement accounts proposals, and scheduling support with our special software,
  • Investment Research: Conduct in-depth research on potential investments (stocks, ETFs, mutual funds, etc.) and perform comparative and fundamental analysis, to assist in individual investment proposals to advisors.
  • Risk Management: Perform risk analyses, including VaR, CVaR, stress testing, and sensitivity analysis, to ensure portfolios are aligned with client risk tolerance and financial goals.
  • Performance Attribution: Conduct performance attribution analysis to understand the sources of portfolio performance (asset allocation, security selection, stock selection) and explain results to clients, conducting monthly internal control, and quarterly and annual reports for clients, company, and advisors.
  • Reporting: Prepare clear, client-facing performance reports, explaining performance metrics, risk metrics, and comparison to benchmarks. Review reports for accurate information.
  • Client Communication and support: Explain complex financial concepts, investment strategies, investment strategies, and portfolio construction techniques and performance reports in a clear, jargon-free manner to ensure clients understand the rationale behind their investment strategy. Supporting main advisor or manager on these topics, while principal responsibility and meeting is led by advisor or manager.
  • Performance Reporting: Prepare clear, insightful, and comprehensive client performance reports, explaining performance attribution, risk metrics, and deviations from benchmarks. Scenario Explanation: Explain how different market scenarios (e.g., marketcrash, market rally) could impact the client’s financial plan, and suggest adjustments.
  • Strategy support: Clarify the rationale behind recommended strategies, ensuring clients understand the rationale behind portfolio construction decisions.  Explain the reasons behind specific investment recommendations, including risks, liquidity, tax implications, and how they fit within the client’s overall financial plan.
  • Collaboration: Work closely with Investment Advisers and other team members to develop and implement investment strategies and models. Provide ongoing support to advisors, answering questions, addressing concerns, and updating financial plans as circumstances change (e.g., job change, unexpected expense, market conditions). Assist scheduling corporate retirement accounts initial set-up or move with us.
  • Research: Conduct investment research and analysis to support the firm’s investment process and strategies.
  • Continuous Learning: Stay updated on market trends, regulations, and methodologies to continually improve the firm’s investment process.
  • Internal financial analysis, performance, and bookkeeping:
    Update company bookkeeping, review invoicing, prepare invoices and update financial statements. Review internal performance metrics and department and individual performance and goals.


Requirements:

  • Bachelor's degree in Finance, Economics, Mathematics, Statistics, or a related field.
  • Strong understanding of financial modeling, portfolio construction, risk management, and performance attribution, and bookkeeping and accountancy.
  • Proficiency in Python, R, or MATLAB for financial modeling, data analysis, Monte Carlo simulation, and Quickbooks.
  • Experience with financial databases (e.g., Bloomberg, FactSet, Morningstar, Refinitiv, I/B/E/S data) is a significant advantage.
  • Excellent written and verbal communication skills, especially the ability to explain complex financial concepts clearly.
  • Strong analytical, problem-solving, and client service orientation. Team work skills and fast learning capabilities.
  • Bookkeeping and Data Entry: Tax preparation, invoicing, quickbooks and bookkeeping for internal management follow-up.
  • Must be Miami-Dade or South Florida resident (we accept international candidates with a valid visa status)

Preferred Qualifications:

  • Experience within a Registered Investment Adviser (RIA) firm is highly valued.
  • Experience with portfolio optimization techniques like mean-variance optimization (MVO) and Black-Litterman model is highly desirable.
  • Experience with Quickbooks.
  • Knowledge of the Investment Advisers Act of 1940 (IAA 2020) and FINRA rules.
  • Experience with financial modeling in an RIA context, particularly for financial planning and portfolio management.
  • Experience with Monte Carlo simulation and performance attribution.
  • Ability to create clear and insightful client-facing reports.
  • CFA Level I (preferred) or pursuit of the CFA designation is highly desirable.
  • Financial Modeling Certification (FMC) is a strong plus.
  • Series 65 66/67: These are basic industry licenses, often required for individuals acting as investment adviser representatives (IARs), and are often required or preferred for professionals supporting investment operations.
  • 215 license (Insurance)