Sr. Analyst, Risk Data & Analytics

** Job Summary*
* 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.

** _

Please note:

This role is not eligible for immigration Work Visa sponsorship, either currently or in the future._*
* ** Essential Duties and 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.

** Knowledge of:*
* + 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.

** Skill in:*
* + 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.

** Ability to:*
* + 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.

** Education/Previous Experience*
* + Bachelor's Degree and a minimum of three (3) years of relevant experience in financial services, data analytics, business intelligence, or a related field.

+ OR

+ Any equivalent combination of education, training and/or experience approved by Human Resources.