PGIM - Technical Business Systems Analyst (Hybrid)

Job Classification:

Technology - Agile, Delivery, & Product

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!  

 

What you will do 

We are seeking a Technical Business Systems Analyst (BSA) to join the Data Management team supporting the Fixed Income data platform. This role is heavily focused on building data products and supporting ongoing business initiatives, with end‑to‑end ownership of data onboarding, issue resolution, and continuous improvement within an Agile delivery model. You will be accountable for the product's success from vision to execution, collaborating closely with empowered, cross-functional product teams and business stakeholders to implement solutions that align with business outcomes.

This position is performed in a hybrid manner with a mix of work performed from our office in Newark, NJ and remotely.

The ideal candidate will be hands‑on, proactive, and accountable, with strong Fixed Income domain expertise in public and private credit, strong SQL skills, and the ability to decompose business logic, read code, and work directly with stakeholders and engineering teams to ensure reliable, high‑quality data product delivery.

We want you to see this challenge as a unique and valuable opportunity, so if this sounds interesting, then PGIM could be the place for you.

What you can expect 

• Own end‑to‑end delivery and support of Fixed Income data products and initiatives working as part of a delivery team, collaborating with stakeholders, developers, QA to understand requirements, analyses and refine stories, design solutions, implement them, test them, and support them in production
• Act as a SME for driving root cause analysis and remediation for production incidents
• Translate Fixed Income business needs into clear, actionable technical requirements, including data mappings, transformations, and validation rules
• Work closely with data engineers to analyze existing data logic, read SQL/code, and validate that implementations align with business intent
• Proactively monitor data quality, identify issues, and take accountability for resolution, not just escalation
• Support Agile delivery by contributing to backlog refinement, sprint planning, story breakdown, and acceptance criteria
• Partner with Front Office, Risk, Operations, and downstream consumers to elicit requirements and resolve data questions
• Ensure data solutions meet production‑grade standards for stability, accuracy, traceability, and auditability
• Continuously improve BAU processes, documentation, and controls to reduce recurring issues and operational risk

What you will bring 

• 8+ years of experience working in a technology role preferably in software engineering, BSA/QA and/or application support
• Strong experience working with Public and Private Fixed Income data, including instruments such as bonds, repos, futures, swaps, and derivatives, CMLs, RMLs
• Solid understanding of data domains trades, positions, accounting/performance, reference data (e.g., CUSIP/ISIN/SEDOL, issuer/hierarchy, calendars etc.), pricing and analytics data (evaluated prices, yields/spreads, curves, OAS/duration/convexity)
• Working knowledge of data governance concepts: data lineage, metadata, data dictionaries, stewardship, and audit-ready documentation/controls
• Strong SQL skills, with the ability to write and review complex queries, perform data analysis and validation independently and debug production data issues
• Ability to read and reason existing code such as Java/Python to extract and decompose business logic