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Raymond James Logo Raymond James · Finance

Investment Data Scientist

United States, Saint Petersburg · Job Posted March 12, 2026
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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.

Job Responsibility

  • 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

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
  • 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
  • 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

Nice to have

  • 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
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