Raymond James Risk Management is seeking to inform enterprise risk decisions through high-impact analytical initiatives, transforming complex datasets into actionable intelligence and guiding cross-functional projects.
Requirements
- Analytical tools and platforms: Python, SQL, Excel (Power Query, Macros), Tableau, QlikSense.
- Financial markets, banking operations, investment products, and Risk Management principles.
- Data preparation and cleansing methodologies.
- Statistical and analytical techniques including regression, variance analysis, sampling theory, and forecasting.
- Applying SQL, Python, advanced Excel, and data visualization tools to solve business problems.
- Reconciling and validating data from multiple sources to ensure accuracy.
- Communicating technical insights effectively through presentations and visual storytelling.
Responsibilities
- Partner with business leaders to define analytical objectives and solve complex risk-related challenges.
- Design, execute, and deliver analytical projects, including exposure analysis, trading activity reviews, and loan portfolio assessments.
- Develop and implement statistical models to forecast risk.
- Build and maintain scalable reporting solutions and interactive dashboards using BI tools such as Tableau.
- Ensure data integrity and consistency across all deliverables, applying rigorous quality control standards.
- Identify opportunities for process optimization and automation within assigned workflows.
- Translate technical findings into clear, compelling narratives for stakeholders through presentations and executive summaries.
Other
- Bachelor’s Degree and a minimum of three (3) years of relevant experience in financial services.
- Less than 25% travel required.
- Hybrid workstyle.
- Ability to work independently and prioritize and manage multiple tasks.
- Develop and justify data-driven recommendations that consider constraints and potential outcomes.
