• Analyze and document business processes across equities, fixed income, and derivatives products
• Support end-to-end trade lifecycle analysis and process optimization
• Reference Data & Master Data Management (MDM):
• Contribute to golden-source reference data design and attribute hierarchies
• Support data modeling, data lineage mapping, and corporate action workflows
• Define data quality rules including completeness, accuracy, and timeliness
• Develop validation logic, exception handling processes, and reconciliation requirements
• Work closely with data engineering teams to implement robust control frameworks
• Use SQL for data profiling, analysis, and validation
• Perform gap analysis across systems, data models, and business processes
• Gather, analyze, and document business and functional requirements
• Translate business needs into clear specifications and acceptance criteria
• Drive User Acceptance Testing (UAT) and manage defect tracking and remediation
• Stakeholder & Vendor Management:
• Act as a liaison between business stakeholders, technology teams, and external data vendors
• Ensure consistent data definitions and alignment across teams
• Communication & Problem-Solving:
• Simplify complex data concepts for non-technical audiences
• Provide analytical insights and recommendations to support decision-making

• The ideal candidate will have strong capital markets domain expertise, hands-on data analysis skills, and the ability to bridge business requirements with technical delivery teams
• 5+ years of experience as a Business Analyst in capital markets or financial services
• Strong understanding of market data, reference data, and financial instruments
• Hands-on SQL experience for data analysis and profiling
• Excellent communication, documentation, and analytical problem-solving skills
• We are seeking an experienced Capital Markets Business Analyst to support initiatives across Data Foundation & Analytics reference data, market data, and trade lifecycle processes
• Technical & Analytical Skills:
• Drive User Acceptance Testing (UAT) and manage defect tracking and remediation
• Simplify complex data concepts for non-technical audiences

• Strong experience with data quality and controls, defining DQ rules, validation logic, exception handling, and reconciliation requirements

Capital markets & instrument knowledge across equities, FI, derivatives; understanding identifiers (ISIN/CUSIP/FIGI), vendor feeds (Bloomberg/Refinitiv), and trade lifecycle instrument identifiers (ISIN, CUSIP, FIGI) and vendor data feeds (Bloomberg, Refinitiv)

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility