Sr. Analyst, Risk Data & Analytics

Raymond James•Saint Petersburg, FL

20h•Hybrid

About The Position

Raymond James is seeking a Senior Analyst with strong analytical, technical, and communication skills to support Risk Management through data, reporting, and analytics. This role is critical in understanding front-line processes, analyzing and transforming data, developing reporting and visualization solutions, and collaborating with IT to integrate data across multiple departments. Under limited supervision, you will collaborate and play a key role in shaping the firm’s risk information and analytics capabilities. This position requires exceptional analytical ability, attention to detail, and hands-on experience with data and business intelligence tools.

Requirements

Risk Management principles and practices, including market, credit, and liquidity risk.
Agile methodologies and iterative delivery environments.
Analytical and business intelligence tools and platforms, including SQL, Python, Excel, Tableau, and Qlik.
Data preparation, cleansing, reconciliation, validation, and basic data modeling concepts.
Extracting, manipulating, transforming, and analyzing data from multiple source systems using SQL, Python, Excel, Tableau, and Qlik.
Developing dashboards, reports, visualizations, and analytical outputs.
Reconciling and validating data to ensure accurate and consistent results.
Translating business and risk objectives into data requirements, analytical logic, reporting specifications, and technical documentation.
Communicating technical insights effectively through presentations and visual storytelling.
Hand write SQL (required) and Python (preferred)
Collaborate with business partners to understand their processes and translate them into data, reporting, and analytical solutions.
Analyze complex datasets, identify patterns or anomalies, and develop actionable insights.
Develop and maintain queries, scripts, technical documentation, and instructions.
Adapt quickly to evolving needs and deliver concise, actionable insights under tight timelines.
Work independently and prioritize and manage multiple tasks.
Build and maintain productive relationships with internal and external stakeholders.
Develop and justify data-driven recommendations that consider constraints and potential outcomes.
Bachelor’s Degree and a minimum of three (3) years of relevant experience in financial services, data analytics, business intelligence, or a related field.
Any equivalent combination of education, training and/or experience approved by Human Resources.

Nice To Haves

Python (preferred)

Responsibilities

Advance data, reporting, and analytics capabilities for Risk Management, ensuring deliverables meet business needs, enterprise standards, and regulatory expectations.
Develop and maintain reporting, dashboarding, and analytical solutions using approved data and business intelligence tools.
Extract, transform, reconcile, and analyze data from multiple source systems to support risk measurement and decision-making.
Collaborate with business stakeholders and IT delivery teams to translate business needs into data requirements, analytical logic, and reporting solutions.
Identify opportunities for process optimization and automation within assigned workflows.
Translate technical and analytical findings into clear, compelling narratives through dashboards, presentations, and executive summaries.
Manage multiple priorities and deadlines using effective project management and time-tracking practices.