Fixed Income – Specialist, Business Intelligence

Job Classification:
Technology – Data Analytics & Management

A GLOBAL FIRM WITH A DIVERSE & INCLUSIVE CULTURE

As the Global Asset Management business of Prudential, we’re always looking for ways to improve financial services. We’re passionate about making a meaningful impact – touching the lives of millions and solving financial challenges in an ever-changing world.

We also believe talent is key to achieving our vision and are intentional about building a culture on respect and collaboration. When you join PGIM, you’ll unlock a motivating and impactful career – all while growing your skills and advancing your profession at one of the world’s leading global asset managers!

If you’re not afraid to think differently and challenge the status quo, come and be a part of a dedicated team that’s investing in your future by shaping tomorrow today.

At PGIM, You Can!

In PGIM Fixed Income, our technology group is a dynamic, fast-paced environment, with exciting changes on the horizon under new senior leadership. We are looking for a senior business intelligence resource to support senior leaders in building all new visualization and data analytics within the various departments in Fixed Income. Our ideal candidate will have proven experience in building dynamic analytics report/dashboards for financial end-users.

The right candidate for this role will identify this challenge as a unique and valuable opportunity to help drive our global technology transformation, so if this sounds interesting, then PGIM could be the place for you.

• Create Power BI Dashboards to meet complex user requirements and demand.
• Integration of Parameters, Parameterized Queries, and Query Folding to optimize data source connectivity and refreshes.
• Performance tuning, Semantic Model Optimization, and creating Power BI workbooks that are able to intelligently aggregate data from large data sources.
• Develop and modify Python Scripts to optimally transform data frames for both output files for data sources, but also to leverage machine learning and advanced statistical analytics.
• Schedule, deploy, and put Python scripts through version control.
• Test, Research, and Implement AI driven frameworks to augment reporting and analytics across the firm.
• Implement strategies for Outlier Detection, Insight Generation, and push-analytics to stakeholders.
• Creation and Deployment of Custom Python Driven Visuals and Open-Source Visualization Capabilities.
• Transform complex reporting needs into technical specifications, including calculations, custom groups, parameters, filtering criteria, aggregations etc.
• Develop and Test Python and Custom API-related Workflows to build on the capabilities of the Power BI Platform.
• Work with Tableau for support, ticket resolution, feature requests and defect tracking.
• Demonstrate strong backend platform expertise and front-end consultancy capability
• Recommend best practices from both a technical and process perspective as related to Power BI and Tableau development.
• Groom large datasets for optimal performance and maintainability
• Troubleshoot issues as they occur, identify criticality and impact, and provide appropriate workarounds

• 2+ years of Power BI application development experience including visualizations, parameters, and report optimization
• 3+ years working in Python, Pandas Data Frames, Machine Learning, and API-driven workflows.
• 2+ years of hands-on SQL Experience
• 2+ Years working with AI and understanding Ai Frameworks.
• Expertise across multiple BI platforms and data visualization tools include Tableau and Power BI
• Strong experience with performance tuning business intelligence and database platforms for maximum performance in each technical configuration
• Expertise with multiple database platforms including relational databases (ie. SQL Server and Oracle) as well as cloud-based data warehouses such as Microsoft Fabric and Snowflake
• Experience with both server and desktop-based data visualization tools
• Expertise managing and mining very large internal and external data sets
• Experience with sourcing external data sets to meet business needs
• Demonstrated experience with testing…