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

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

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

Technical Business Systems Analyst

Key skills