Investment Data Scientist – Python & Portfolio Analytics (Hybrid)

100 Raymond James & Associates, Inc.; Saint Petersburg (FL); Hybrid; USD 110,000 - 170,000; Full time

Benefits offered by this job

Medical insurance

Retirement plan

Paid time off

Job summary

Raymond James & Associates, Inc. in the United States seeks an Investment Data Scientist to develop, evaluate, and productionize quantitative models for portfolio management. You will write production-grade Python to analyze financial data and automate investment workflows, building dashboards for decision support.

Collaborate with Investment Committee members and analysts to ensure model alignment with investment objectives, while delivering validated results in a hybrid work environment.

Qualifications

• Core Knowledge: 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.

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.

Skills

Python programming

Data analysis

Portfolio optimization

Statistical modeling

Data visualization

Quantitative finance

Problem solving

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Mathematics

Bachelor’s degree in Statistics

Bachelor’s degree in Economics

Bachelor’s degree in Finance

Tools

pandas

NumPy

SciPy

CVXPY

Streamlit

Tableau

Power BI

Plotly Dash

Job description

Job Description Summary

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

General Experience - 3 to 6 years

Travel

Less than 25%

Workstyle

Hybrid

Compensation

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.

Benefits

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.

Company Culture

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

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.

Raymond James is a diversified financial services company providing wealth management, capital markets, asset management, banking and other services to individuals, corporations and municipalities. Founded in 1962 in St. Petersburg, Florida, rather than on Wall Street, we have always embraced being a different kind of financial services firm. Today, Raymond James has locations and subsidiaries across the United States, Canada, the United Kingdom and Germany, and is listed on the New York Stock Exchange under the symbol RJF.

Thanks for your interest in working with Raymond James.

Our business is deeply focused on people and their financial well‑being. We're committed to helping individuals, corporations and institutions achieve their goals, while also supporting successful professionals and helping our communities prosper. We believe doing well and doing good aren't mutually exclusive. As an established but ever‑evolving company, you can start – or continue – growing your career here. We invest in you with wide‑ranging benefits and the support of leaders and colleagues who care. From development opportunities and enriching networking groups to prioritizing diversity, inclusion and the power of different perspectives, Raymond James is where good people grow. Our people‑first culture is outlined in our Culture Blueprint. Check it out to see why many choose to work at Raymond James – and why they stay.