Raymond James · 6 hours ago
Investment Data Scientist | Financial Modeling & Portfolio Analytics
Raymond James is a financial services firm that focuses on investment management and financial planning. The Investment Data Scientist will develop and improve quantitative models to support investment decision-making and portfolio management, while collaborating with various stakeholders to enhance investment processes through statistical modeling and automation.
BankingFinancial ServicesInformation TechnologyInsuranceWealth Management
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
Qualification
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
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
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
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
Preferred
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
Company
Raymond James
Raymond James provides a range of investment banking services focused on the telecommunications and communications sectors.
Funding
Current Stage
Public CompanyTotal Funding
$1.5B2025-09-09Post Ipo Debt· $1.5B
1983-07-01IPO
Leadership Team
Recent News
TradingView
2025-12-16
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