Front Office Business Analyst(Only Indepedent and Local to NYC Only)

Key Responsibilities :

• Work closely with Front Office stakeholders, traders, risk teams, operations, and technology teams to gather, analyze, and document business and functional requirements.
• Translate business needs into clear functional specifications, process flows, use cases, and user stories.
• Analyze derivatives products and workflows, including trade capture, lifecycle events, valuation, settlements, and reporting requirements.
• Support projects involving front office systems, trading platforms, risk systems, and downstream data platforms.
• Collaborate with data engineering and architecture teams on data warehouse initiatives, ensuring business requirements are accurately reflected in data solutions.
• Define and document source-to-target mappings, business rules, and data transformation logic.
• Apply data modelling concepts to support reporting, analytics, and enterprise data initiatives.
• Perform data analysis using SQL to validate requirements, investigate issues, reconcile data, and support testing activities.
• Identify gaps, inconsistencies, and opportunities for process or data quality improvements.
• Support UAT, SIT, and business validation testing, including test case creation and defect triage.
• Work with stakeholders to ensure alignment between business processes, regulatory requirements, and system capabilities.
• Assist in the design and implementation of reporting and analytical solutions for trading and derivatives data.
• Facilitate workshops, stakeholder meetings, and requirement review sessions.
• Produce high-quality documentation including BRDs, FRDs, process maps, data dictionaries, and functional specifications.

Required Qualifications :

• 8+ years of experience as a Business Analyst, preferably in capital markets or investment banking environments.
• Strong experience working with Front Office business users and trading-related systems.
• Solid knowledge of Derivatives products such as futures, options, swaps, forwards, and related lifecycle processes.
• Strong understanding of Data Warehouse concepts, including ETL/data flow, historical data storage, reporting layers, and reconciliation.
• Good knowledge of Data Modelling concepts, including logical and physical data models, entity relationships, and data mapping.
• Strong hands-on experience with SQL for data analysis, querying, validation, and troubleshooting.
• Proven ability to gather, document, and manage complex business and functional requirements.
• Experience working with cross-functional teams including business, technology, QA, and data teams.
• Strong analytical, problem-solving, and communication skills.
• Ability to manage multiple stakeholders and work in a fast-paced delivery environment.