Python Financial Jobs in Florida (NOW HIRING)

Job Description

As the world works and lives faster, FIS is leading the way. Our fintech solutions touch nearly every market, company and person on the planet. Our teams are inclusive and diverse. Our colleagues work together and celebrate together. If you want to advance the world of fintech, we'd like to ask you: Are you FIS?

About The Team:

The team partners closely with finance, data, and technology leaders to modernize financial insights, enable scalable decisionmaking, and advance the use of advanced analytics and AI across the organization. The environment emphasizes strong fundamentals, thoughtful innovation, and building solutions that are practical, trusted, and enterpriseready.

About The Role:

The Financial Analyst Lead will play a pivotal role in modernizing the financial forecasting and reporting capabilities of the organization. This position bridges finance, data engineering, and advanced analytics, leveraging Microsoft Fabric, Power BI, and AI/ML to build automated, intelligent financial processes. The analyst will design the foundational data structures, pipelines, and models that enable automated forecasting and set the stage for agentic (autonomous) forecasting routines.

What You Will Be Doing:

• Enable and maintain automated data pipelines in Microsoft Fabric
• Develop data models and transformations to support forecasting and reporting
• Ensure data quality, lineage, and governance
• Develop advanced Power BI dashboards and semantic models
• Optimize models for performance and scalability
• Create reusable reporting templates
• Build ML-driven forecasting models using Python, AutoML, or Fabric ML
• Translate business drivers into ML models
• Support accuracy evaluation and scenario modeling
• Build foundations for agentic forecasting
• Collaborate with FP&A and Accounting teams
• Support forecasting cycles with automated analytics
• Identify automation opportunities
• Standardize documentation and contribute to analytics roadmap

What You Will Need:

• Bachelor's degree in Finance, Analytics, CS, or related field
• Generally requires 5+ years in FP&A, financial modeling, or data analytics
• Power BI expertise (DAX, modeling)
• Experience with Microsoft Fabric or Azure data platforms
• Python/SQL and ML familiarity
• Strong financial/AIS understanding

Added Bonus If You Have:

• Experience with automated forecasting models
• MLOps or Azure ML exposure
• Advanced data engineering skills
• Semantic model expertise
• Understanding of agentic AI concepts

What We Offer You:

At FIS, you can learn, grow and make an impact in your career. Our benefits include:

• Flexible and creative work environment
• Diverse and collaborative atmosphere
• Professional and personal development resources
• Opportunities to volunteer and support charities
• Competitive salary and benefits

Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

EEOC Statement

FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here

For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

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