Implementation Business Analyst

What we are looking for

State Street Alpha Data Implementation organization is seeking individuals with subject matter expertise spanning a wide array of financial instrument types and working knowledge of Asset Management Data Domains to join our team as an Implementation Business Analyst.

Why is this role important

Implementation Business Analysts are at the heart of continued growth of our Alpha Data Services offering. These energetic, self-motivated individuals collaborate with clients and Business, Data and Technology Solution Architecture leads at State Street and Charles River on a daily basis to articulate business requirements, navigate dependencies and drive innovative enhancements that empower our architecture to support new and more robust Front, Middle and Back Office managed data services - allowing our clients to focus on generating revenue for their core business.

What your responsible for

• Contribute to the integration of new data services and sources by participating in requirement gathering, testing and support of newly developed features as part of the Product’s scaled agile teams.
• Work as a member of the Client Implementation Team with the Development teams as well as the Project Manager to help establish project delivery plans and delivery estimates for projects involving integration of client middle or back-office data.
• Guide Clients on required reference data and other setups and mapping as part of initial client implementations.
• Define and maintain standards around data ingestion, enrichment and validation of client portfolio data into our Enterprise Data Management solution.
• Perform in-depth analysis of the functional capabilities inherent to our existing and emerging data platform.
• Document product specifications and prepare business cases to drive development in scaled agile rooms.
• Capture on-going enhancements to scope of services for existing clients as needed into roadmap.
• Create and maintain client facing documentation
• Maintain an excellent working knowledge of the service offering to perform Subject Matter Expert activities: consultancy, implementation configuration and demonstrations.

Education and Preferred Qualifications

• Bachelor's degree or higher in Finance, Accounting, Computer Science, Information Systems, or a related discipline.
• 5+ years of experience working with investment accounting, portfolio management, investment operations, or financial data across asset classes including Fixed Income, Equities, Derivatives, Forwards, Futures, Cash, Positions, Settlements, General Ledger, NAV, Corporate Actions, Pricing, and Benchmark data.
• Experience supporting software implementation projects, data onboarding initiatives, platform migrations, or enterprise data services programs within the financial services industry.
• Good understanding of investment management operating models and the lifecycle of investment data from front office through accounting, performance, reporting, and downstream consumers.
• Proven experience conducting client workshops and requirements gathering sessions to elicit, document, validate, and prioritize business, functional, and data requirements.
• Strong data analysis and data mapping skills, including creation of source-to-target mappings, transformation rules, data dictionaries, business rules, and cross-reference documentation.
• Experience with ETL/ELT processes, data ingestion frameworks, and data integration solutions used to acquire, transform, and load data between systems.
• Ability to analyze source system data structures and reconcile data between upstream platforms, operational systems, and target data warehouses.
• Experience performing data profiling, root-cause analysis, data quality assessments, exception resolution, and reconciliation activities.
• Understanding of data governance concepts including data quality, metadata management, data cataloging, lineage, stewardship, controls, and ownership.
• Strong understanding of relational data models, dimensional data modeling concepts, and data warehouse architectures including fact and dimension structures.
• Knowledge of security master, reference data, benchmark data, pricing data, corporate actions, positions, transactions, and performance m