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Prudential Financial

Technical Business Systems Analyst

Prudential Financial

Technical Business Systems Analyst managing Fixed Income data products and initiatives at PGIM. Collaborating with cross-functional teams to ensure reliable, high-quality data product delivery.

Posted 4/26/2026full-timeNewark • New Jersey • 🇺🇸 United StatesSeniorLead💰 $130,000 - $160,000 per yearWebsite

Tech Stack

Tools & technologies
JavaPythonSQL

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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
  • Strong understanding of data concepts such as source-to-target mappings, data transformations and enrichment, historical vs as-of data, data quality and reconciliation controls
  • Experience with data ingestion and integration patterns (batch/stream), file formats (CSV/JSON/Parquet), and/or scheduling/orchestration tools
  • Proven experience working in a strong Agile delivery environment; comfortable breaking down requirements into epics, user stories, and clear acceptance criteria

Benefits

Comp & perks
  • Medical, dental, vision, life insurance, disability insurance
  • Paid Time Off (PTO)
  • Leave of absences, such as parental and military leave
  • 401(k) plan with company match (up to 4%)
  • Company-funded pension plan
  • Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs
  • Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development
  • Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs
  • Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service

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Hard Skills & Tools
SQLJavaPythondata analysisdata validationdata transformationsdata qualitydata governancedata ingestiondata integration
Soft Skills
collaborationproblem-solvingaccountabilitycommunicationstakeholder engagementAgile methodologyroot cause analysisprocess improvementdocumentationorganizational skills