1

Python Financial Jobs in Florida (NOW HIRING)

Position Overview The Finance Analyst plays a critical role in enabling data-driven decision-making ... Python, R) * Collaborate with Sales, Marketing, Supply Chain, Agricultural Operations, and ...

Position Overview The Finance Analyst plays a critical role in enabling data-driven decision-making ... Python, R) * Collaborate with Sales, Marketing, Supply Chain, Agricultural Operations, and ...

... Python, R)Collaborate with Sales, Marketing, Supply Chain, Agricultural Operations, and Manufacturing to align financial insights with business strategySupport annual planning, quarterly forecasting ...

We are seeking a detail-oriented and analytical Financial BI Analyst to join our team. This role is ... Experience with Python, Azure, Snowflake, or cloud-based analytics platforms Benefits Alteva RCM ...

We are seeking a detail-oriented and analytical Financial BI Analyst to join our team. This role is ... Experience with Python, Azure, Snowflake, or cloud-based analytics platforms Benefits Alteva RCM ...

Quality Engineer - Selenium+Python

Tampa, FL · On-site

$68K - $87K/yr

... Financial Services, and be capable of validating complex data pipelines, applications, and ... Selenium and Python. • Create and execute automated test scripts for functional, regression ...

Tampa, FL (or) Irving, TX (Onsite) Job Type: Full Time * Kinetica, Python, sql, Rest API, Design ... Financial Services * Telecommunications * IoT & Sensor Analytics * Geospatial Analytics * High ...

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 ...

Hi team, AI Architect FL Onsite Python, Cloud ML platforms-Azure, Vector DBs (Pinecone, DB Vector ... financial services, preferably in commercial real estate credit, servicing, or asset management.

Showing results 21-40

Python Financial information

See Florida salary details

$9

$43

$64

How much do python financial jobs pay per hour?

As of Sep 10, 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:

What are popular job titles related to Python Financial jobs in Florida?

For Python Financial jobs in Florida, the most frequently searched job titles are:

Infographic showing various Python Financial job openings in Florida as of September 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $91,119 per year, or $43.8 per hour.

Banking Financial Analytics Specialist

Jacksonville, FL • On-site

Seacoast Bank
Commercial Banking • 1 - 5K employees

Full-time

Re-posted 8 days ago


Seacoast Bank rating

8.6

Company rating: 8.6 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

JOB SUMMARY:
The Banking Financial Systems Analytics Specialist is responsible for developing and maintaining financial reporting, dashboards, and analytics solutions that support accounting and business decision-making. As a member of the Accounting team, this position analyzes financial and operational data, supports budgeting and forecasting initiatives, and improves reporting efficiency through automation and process enhancements. The role partners with Finance and business partners to deliver meaningful insights, ensure data accuracy and integrity, and provide reporting that drives informed business decisions. Consistently gains the confidence and trust of others through honesty, integrity, and authenticity.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Develop and maintain financial and management reporting dashboards, reports, and data models to support accounting and business decision-making.
  • Develop and automate data pipelines using SQL, Python, and Power Query.
  • Analyze financial, operational, procurement, and payment data to identify trends and support decision-making.
  • Create management reports and key performance metrics that provide insight into financial performance and business trends.
  • Support budgeting, forecasting, profitability, and financial performance reporting initiatives.
  • Automate manual reporting and validation processes to improve efficiency and accuracy.
  • Ensure the integrity, accuracy, and consistency of data used for financial reporting and analytics.
  • Collaborate with Finance and other business partners to understand reporting needs and deliver analytics solutions.
  • Develop key performance indicators (KPIs) and executive-level dashboards that provide visibility into financial results and business performance.
  • Document reporting processes, data sources, and controls to support audit, compliance, and operational requirements.
  • Identify opportunities for process improvement and reporting enhancements.
  • Adheres to Seacoast Bank's Code of Conduct.

 EDUCATION and/or EXPERIENCE:

  • Bachelor's degree in Finance, Accounting, Computer Science, Data Analytics, Economics, Information Systems, or related field; or 2 to 5 years of relevant work experience.
  • Advanced SQL skills, including complex joins, CTEs, and data transformation techniques.
  • Strong Power BI experience, including data modeling, DAX, Power Query, and dashboard development.
  • Proficiency in Python, including data analysis and automation using tools such as Pandas and NumPy.
  • Experience developing reporting solutions, data pipelines, and automated workflows.
  • Understanding of accounting, financial reporting, budgeting, and forecasting concepts preferred.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Excellent written and verbal communication skills.
  • Exceptional attention to detail and commitment to data accuracy.
  • Strong organizational skills and ability to manage multiple priorities in a fast-paced environment.

The Statements above are intended to describe the general nature and level of work being performed by people assigned to this position.  They are not intended to be an exhaustive list of responsibilities, duties, and skills.  Because these statements are general, the job description is used for a variety of purposes including job evaluations; performance reviews; recruitment; etc. All Associates are required to adhere to the highest legal and ethical standards applicable to our industry.  It is the policy of Seacoast Bank that all Associates will be familiar and compliant with all regulatory, legal, ethical and Bank risk mitigation requirements pertaining to both our industry and their individual roles.  This includes the on time, successful completion of annual required training post-hire and effective execution of role responsibilities. 


What Seacoast Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom