Finance STEM OPT Jobs in Florida
Finance F-1 STEM OPT sponsorship jobs in Florida are concentrated in Miami's international banking corridor, Tampa's growing fintech sector, and Jacksonville's financial services hub. Major employers including Citigroup, Bank of America, and Raymond James have filed F-1 STEM OPT-eligible roles in quantitative analysis, financial engineering, and risk modeling, fields where Florida's finance industry actively recruits degree holders in STEM disciplines.
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Job Description
As part of the AMS Research team, the Investment Data Scientist plays a key role in developing, improving, and evaluating quantitative models that directly support investment decision-making and portfolio management. This is a hands-on technical role focused on writing production-quality Python code to analyze financial datasets, enhance portfolio construction methods, and automate investment workflows.
You’ll collaborate closely with Investment Committee members, analysts, and other stakeholders to improve the investment process through portfolio optimization, statistical modeling, and process automation. You’ll also develop interactive dashboards and visualizations that translate complex analytical outputs into actionable insights. This role requires strong analytical thinking, the ability to solve complex technical problems independently and collaboratively, and a commitment to delivering high-quality, validated results.
Essential Duties and Responsibilities
- Develop and maintain robust Python code for portfolio construction, statistical analysis, and automation of investment workflows.
- Design and implement portfolio optimization algorithms.
- Apply advanced statistical methods to extract insights from financial datasets.
- Collaborate with Investment Committee members, analysts, and quant team members to align model development with investment objectives and operational needs.
- Build automated processes to eliminate manual tasks, reduce errors, and improve workflow efficiency.
- Create interactive dashboards and visualizations to communicate analytical findings.
Knowledge, Skills, and Abilities
Core Knowledge (Required):
- Python libraries for data manipulation and array mathematics: pandas, NumPy, SciPy, and optimization libraries such as CVXPY.
- Statistical modeling and optimization: mixed integer programming, regressions, time series, and Monte Carlo simulation.
- Data visualization: Streamlit, Tableau, Power BI, Plotly Dash, or similar platforms.
- Quantitative finance: portfolio construction methods, risk modeling, and financial data analysis.
Preferred Knowledge:
- Financial markets, investment products, and portfolio theory.
- Performance measurement and attribution methodologies.
- Django framework for database management.
- Advanced investment concepts and practices in the securities industry.
Technical Skills:
- Writing clean, documented, and version-controlled Python code.
- Translating business problems into quantitative models and technical solutions.
- Building and maintaining automated workflows.
- Creating clear, intuitive data visualizations for non-technical audiences.
- Validating and testing models to ensure accuracy and reliability.
- Performing performance calculations and financial data analysis.
Abilities:
- Work independently and collaboratively in a fast-paced team environment.
- Deliver accurate, high-quality analytical work through rigorous testing and validation.
- Manage multiple projects with competing deadlines.
- Communicate complex technical concepts clearly to non-technical stakeholders.
- Debug code, validate results, and ensure analytical accuracy.
- Balance attention to detail with strategic thinking.
- Adapt to changing priorities and requirements.
- Learn new quantitative techniques and investment concepts quickly.
- Promote team effectiveness through knowledge sharing and collaboration.
Educational and Experience Requirements
- Bachelor’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or a related quantitative field.
- 3–6 years of hands-on experience with Python development and quantitative analysis.
- Demonstrated experience building optimization models, statistical systems, and/or automated workflows.
OR
- Any equivalent combination of experience, education, and/or training approved by Human Resources.
Education
Bachelor’s: Computer and Information Science, Bachelor’s: Economics, Bachelor’s: Engineering, Bachelor’s: Finance, Bachelor’s: Mathematics, Bachelor’s: Physics, Bachelor’s: Statistics
Work Experience
General Experience - 3 to 6 years
Certifications
Travel
Less than 25%
Workstyle
Hybrid
The total compensation for this position includes base salary or wages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions. This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit Myrjbenefits.com.
At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view.
We expect our associates at all levels to:
- Grow professionally and inspire others to do the same
- Work with and through others to achieve desired outcomes
- Make prompt, pragmatic choices and act with the client in mind
- Take ownership and hold themselves and others accountable for delivering results that matter
- Contribute to the continuous evolution of the firm
At Raymond James – as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.
Job Description Summary
Job Description
As part of the AMS Research team, the Investment Data Scientist plays a key role in developing, improving, and evaluating quantitative models that directly support investment decision-making and portfolio management. This is a hands-on technical role focused on writing production-quality Python code to analyze financial datasets, enhance portfolio construction methods, and automate investment workflows.
You’ll collaborate closely with Investment Committee members, analysts, and other stakeholders to improve the investment process through portfolio optimization, statistical modeling, and process automation. You’ll also develop interactive dashboards and visualizations that translate complex analytical outputs into actionable insights. This role requires strong analytical thinking, the ability to solve complex technical problems independently and collaboratively, and a commitment to delivering high-quality, validated results.
Essential Duties and Responsibilities
- Develop and maintain robust Python code for portfolio construction, statistical analysis, and automation of investment workflows.
- Design and implement portfolio optimization algorithms.
- Apply advanced statistical methods to extract insights from financial datasets.
- Collaborate with Investment Committee members, analysts, and quant team members to align model development with investment objectives and operational needs.
- Build automated processes to eliminate manual tasks, reduce errors, and improve workflow efficiency.
- Create interactive dashboards and visualizations to communicate analytical findings.
Knowledge, Skills, and Abilities
Core Knowledge (Required):
- Python libraries for data manipulation and array mathematics: pandas, NumPy, SciPy, and optimization libraries such as CVXPY.
- Statistical modeling and optimization: mixed integer programming, regressions, time series, and Monte Carlo simulation.
- Data visualization: Streamlit, Tableau, Power BI, Plotly Dash, or similar platforms.
- Quantitative finance: portfolio construction methods, risk modeling, and financial data analysis.
Preferred Knowledge:
- Financial markets, investment products, and portfolio theory.
- Performance measurement and attribution methodologies.
- Django framework for database management.
- Advanced investment concepts and practices in the securities industry.
Technical Skills:
- Writing clean, documented, and version-controlled Python code.
- Translating business problems into quantitative models and technical solutions.
- Building and maintaining automated workflows.
- Creating clear, intuitive data visualizations for non-technical audiences.
- Validating and testing models to ensure accuracy and reliability.
- Performing performance calculations and financial data analysis.
Abilities:
- Work independently and collaboratively in a fast-paced team environment.
- Deliver accurate, high-quality analytical work through rigorous testing and validation.
- Manage multiple projects with competing deadlines.
- Communicate complex technical concepts clearly to non-technical stakeholders.
- Debug code, validate results, and ensure analytical accuracy.
- Balance attention to detail with strategic thinking.
- Adapt to changing priorities and requirements.
- Learn new quantitative techniques and investment concepts quickly.
- Promote team effectiveness through knowledge sharing and collaboration.
Educational and Experience Requirements
- Bachelor’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or a related quantitative field.
- 3–6 years of hands-on experience with Python development and quantitative analysis.
- Demonstrated experience building optimization models, statistical systems, and/or automated workflows.
OR
- Any equivalent combination of experience, education, and/or training approved by Human Resources.
Education
Bachelor’s: Computer and Information Science, Bachelor’s: Economics, Bachelor’s: Engineering, Bachelor’s: Finance, Bachelor’s: Mathematics, Bachelor’s: Physics, Bachelor’s: Statistics
Work Experience
General Experience - 3 to 6 years
Certifications
Travel
Less than 25%
Workstyle
Hybrid
The total compensation for this position includes base salary or wages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions. This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit Myrjbenefits.com.
At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view.
We expect our associates at all levels to:
- Grow professionally and inspire others to do the same
- Work with and through others to achieve desired outcomes
- Make prompt, pragmatic choices and act with the client in mind
- Take ownership and hold themselves and others accountable for delivering results that matter
- Contribute to the continuous evolution of the firm
At Raymond James – as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.
STEM OPT Finance Job Roles in Florida
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Search Finance Jobs in FloridaFinance STEM OPT Sponsorship Jobs in Florida: Frequently Asked Questions
Which finance companies sponsor F-1 STEM OPT visas in Florida?
Florida-based and nationally headquartered finance employers with a documented history of F-1 STEM OPT hiring include Citigroup and Wells Fargo in Miami, Raymond James Financial and Synovus in the Tampa Bay area, and Fidelity National Information Services (FIS) in Jacksonville. Regional offices of investment banks and insurance analytics firms also file regularly for roles in quantitative finance, financial technology, and actuarial analysis.
Which cities in Florida have the most finance F-1 STEM OPT sponsorship jobs?
Miami leads for F-1 STEM OPT finance roles, particularly in international banking, wealth management analytics, and fintech. Tampa and St. Petersburg follow closely, driven by insurance technology, payment processing, and capital markets firms. Jacksonville is home to major back-office and data analytics operations for national banks. Orlando has a smaller but growing presence in financial technology tied to its broader tech sector.
What types of finance roles typically qualify for F-1 STEM OPT sponsorship?
Roles that qualify must fall under a STEM-designated Classification of Instructional Programs code tied to your degree. In finance, this most commonly applies to quantitative analyst, financial data scientist, risk analyst, actuarial analyst, and algorithmic trading positions. The role itself must require application of STEM knowledge, so purely advisory or relationship-management positions generally do not qualify. O*NET occupation profiles can help confirm whether a specific title meets the standard.
How do I find finance F-1 STEM OPT sponsorship jobs in Florida?
Migrate Mate is built specifically for F-1 STEM OPT job seekers in finance and filters roles by visa type, state, and industry, so you can browse Florida finance positions where employers have a verified sponsorship track record. Beyond Migrate Mate, target employers with existing OFLC Labor Condition Application filings in Florida, which signals active sponsorship infrastructure. Focus your search on quantitative, data, and technology-oriented finance roles, which align most closely with STEM OPT eligibility requirements.
Are there state-specific considerations for F-1 STEM OPT sponsorship in Florida's finance industry?
Florida has no state income tax, which affects compensation structuring but not visa eligibility directly. More relevant is that Florida's finance sector skews heavily toward international business, particularly in Miami, meaning some employers are experienced with foreign-national hiring processes. Florida universities with strong finance and quantitative programs, including the University of Florida and Florida International University, have established relationships with regional employers, which can be an advantage during OPT job searches. USCIS rules on STEM OPT employer enrollment in E-Verify apply uniformly regardless of state.