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Fintech Data Science Jobs in Florida (NOW HIRING)

Role Overview We are seeking a talented Data Science & Analytics Lead to build and lead our ... Experience in a fintech or financial services environment. * Direct experience with crypto ...

Data Engineer - Databricks

Tampa, FL · Hybrid

$108K - $129K/yr

Bachelor's/Master's in Computer Science, Data Engineering, Statistics, or related field. 5+ years ... Fintech, a pioneering accounts payable (AP) automation solutions provider, has dedicated nearly 35 ...

Data Engineer - Databricks

Tampa, FL · On-site

$108K - $129K/yr

Bachelor's/Master's in Computer Science, Data Engineering, Statistics, or related field. 5+ years ... Fintech, a pioneering accounts payable (AP) automation solutions provider, has dedicated nearly 35 ...

Data Engineer - Databricks

Tampa, FL · On-site

$100 - $130/hr

... Science, Data Engineering, Statistics, or related field. 5+ years in data engineering; 2+ years ... Fintech is an Equal Opportunity Employer that does not discriminate on the basis of actual or ...

Bachelor's degree in Computer Science, Information Security, or a related field preferred ... data using AI, seamless integration capabilities, and proprietary automation technology. Fintech is ...

Bachelor's degree in Computer Science, Information Security, or a related field preferred ... data using AI, seamless integration capabilities, and proprietary automation technology. Fintech is ...

... fintech. * Professional Growth : We invest in our employees' growth with continuous learning ... Requirements * 4-7 years of experience in Data Science and the Financial Industry, preferably in ...

... fintech. * Professional Growth : We invest in our employees' growth with continuous learning ... Requirements * 4-7 years of experience in Data Science and the Financial Industry, preferably in ...

... fintech. * Professional Growth : We invest in our employees' growth with continuous learning ... Requirements * 4-7 years of experience in Data Science and the Financial Industry, preferably in ...

Principal Security Engineer

Tampa, FL · On-site

$90 - $120/hr

Bachelor's degree in Computer Science, Information Security, or a related field preferred ... data using AI, seamless integration capabilities, and proprietary automation technology. Fintech is ...

Data Engineer I

Plantation, FL · On-site

$113K - $136K/yr

Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and ... Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering ...

Data Engineer I

Plantation, FL · On-site

$113K - $136K/yr

Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and ... Required Qualifications • Bachelor's degree in Computer Science, Information Technology ...

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Fintech Data Science information

See Florida salary details

$28K

$91.7K

$146.8K

How much do fintech data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for fintech data science in Florida is $91,721.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,600.00 and $101,600.00 per year, depending on experience, location, and employer.

What is a fintech data scientist?

A Fintech Data Scientist is a professional who uses data analysis, machine learning, and statistical techniques to solve problems and create value within the financial technology (fintech) industry. They work with large amounts of financial data to develop predictive models, detect fraud, assess risk, and optimize financial products or services. Their expertise combines knowledge of finance, programming, and advanced analytics to help fintech companies make data-driven decisions and innovate in areas such as payments, lending, and investment. Fintech Data Scientists often collaborate with engineers, product managers, and business stakeholders to deliver actionable insights that drive business growth.

What are the key skills and qualifications needed to thrive as a fintech data scientist?

To thrive as a Fintech Data Scientist, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, mathematics, or a related field). Familiarity with tools such as Python, R, SQL, cloud computing platforms, and experience with financial data modeling or relevant certifications are typically required. Strong problem-solving skills, attention to detail, and effective communication are important soft skills that set top professionals apart. These skills and qualities are vital for extracting actionable insights from complex financial data, driving innovation, and ensuring regulatory compliance in the fast-evolving fintech industry.

How do fintech data scientists typically collaborate with product and engineering teams to develop new financial products?

In fintech, data scientists often work closely with product managers and engineering teams throughout the lifecycle of a financial product. They analyze user data and market trends to provide actionable insights during the product design phase, and collaborate with engineers to implement machine learning models into the product infrastructure. Regular cross-functional meetings and agile workflows are common, allowing data scientists to iterate on models based on feedback and evolving requirements. This collaborative environment ensures that data-driven solutions are robust, scalable, and aligned with business goals.

What is the difference between Fintech Data Science vs Fintech Data Analyst?

AspectFintech Data ScienceFintech Data Analyst
Required SkillsAdvanced statistical, programming, and machine learning skillsData interpretation, reporting, and basic analytics
CertificationsData Science certifications, programming coursesData analysis or business intelligence certifications
Work EnvironmentDeveloping models, algorithms, and predictive analyticsData reporting, dashboards, and data cleaning
Industry UsageCreating predictive models for risk, fraud detection, and customer insightsGenerating reports, supporting decision-making with data

Fintech Data Science involves building complex models and applying machine learning techniques, requiring advanced skills and certifications. Fintech Data Analysts focus on interpreting data, creating reports, and supporting business decisions with less technical complexity. Both roles are essential in the fintech industry but differ in technical depth and responsibilities.

Is data science good for fintech?

Data science is highly valuable in fintech, as it enables the development of algorithms for risk assessment, fraud detection, and personalized financial services. Fintech companies often rely on data analysis, machine learning, and statistical modeling to improve decision-making and customer experience. Skills in programming, data manipulation, and financial knowledge are essential for data scientists in this field.

Is fintech data science a high paying career?

Fintech data science is generally a high-paying career due to the demand for advanced analytics and machine learning skills in financial technology companies. Salaries often depend on experience, education, and technical expertise in tools like Python, R, and SQL, with senior roles earning significantly more. The field offers competitive compensation compared to many other data science roles across industries.
Infographic showing various Fintech Data Science job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $91,721 per year, or $44.1 per hour.

Data Science & Analytics Lead

OpenFX

Miami, FL • On-site

Full-time

Re-posted 2 days ago


Job description

About Us
OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions. The team's execution has been exceptional, and we're scaling at a remarkable pace. Our stellar early team comes with experience in companies like J.P. Morgan, Goldman Sachs, FalconX, Paypal, Affirm, Polygon, Kraken, Nium & others. We're backed by Accel, Lightspeed, NfX and other top-tier investors.
Role Overview
We are seeking a talented Data Science & Analytics Lead to build and lead our analytics function from the ground up. This role is crucial for establishing our core data infrastructure and delivering actionable insights across all teams to power strategic decision-making and drive business growth.
Key Responsibilities:
  • Data Infrastructure & Governance:
    • Design and implement our core analytics infrastructure, including data warehousing, ETL processes, and visualization tools.
    • Establish data quality standards, automate routine reporting, and create self-service analytics tools to ensure data accuracy and accessibility.
  • Business Intelligence & Insights:
    • Create and maintain dashboards for key business metrics across operations, finance, partnerships, and growth teams.
    • Develop comprehensive analytics for transaction monitoring, liquidity optimization, platform performance, and revenue forecasting.
    • Analyze user behavior and transaction patterns to drive growth strategies.
  • Risk & Financial Analytics:
    • Build analytics models for pricing optimization and financial planning.
    • Create risk monitoring systems and fraud detection analytics to ensure platform security.
  • Strategic Partnership & Team Leadership:
    • Partner with leadership to provide data-driven insights for strategic decision-making.
    • Build, manage, and mentor a high-performing team of analysts as the organization scales.

What we are looking for
Must-haves:
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
  • 6+ years of experience in analytics or data science roles.
  • Strong programming skills in Python and SQL.
  • Experience with modern data stack tools (e.g., Snowflake, dbt, Airflow).
  • Proven experience building and maintaining large-scale data pipelines.
  • Excellent communication skills with the ability to present complex data to non-technical stakeholders.
  • Strong problem-solving skills and meticulous attention to detail.

What helps you stand out:
  • A Master's degree in a relevant field.
  • Experience in a fintech or financial services environment.
  • Direct experience with crypto/blockchain analytics.
  • Startup experience is highly preferred.
  • Expertise with data visualization tools like Tableau or Looker.

What We Offer
  • Competitive salary and benefits package.
  • Equity in a rapidly growing company.
  • Opportunity to work in a fast-paced startup at the forefront of fintech innovation.
  • Opportunity to make a significant impact on global financial infrastructure
  • Collaborative work culture with emphasis on personal and professional growth.

We are committed to building a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.