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
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.
