Employer description & source details
Partner with investment and operations stakeholders to understand their data needs, and translate them into clear business requirements, data definitions, business rules, and acceptance criteria for the technical team. Support business data owners in defining and preparing trusted, reusable investment datasets (data products) through intake, definition and readiness using agreed standards, and contribute to ongoing stewardship and lifecycle reviews. Develop conceptual and logical investment data models with business owners and technical partners and explain them clearly to technical and non-technical stakeholders. Collaborate with data engineers and business teams to define and validate business transformation rules and source-to-target mappings and confirm that delivered data meets business expectations. Work with data owners and stewards to define data quality rules and critical data elements and analyze data-quality exceptions and reconciliation breaks. Act as a subject-matter resource on security master, pricing, holdings and reference data across equity, fixed income, and derivatives, ensuring consistency across systems. Document data models, mappings, data flows and business processes, and contribute business glossary terms, data definitions and lineage information to support transparency and governance. Contribute to strategic data projects – including requirements, testing, and release validation – in collaboration with operations, engineering, and senior management. Identify opportunities to improve investment data usability, consistency and operational efficiency. A degree in Finance, Commerce, Business Analysis, or a related field. Progress toward a designation such as the CFA or FRM is an asset. 3–5 years of experience in investment management or financial s
Extracted skills: python, sql, security, finance, operations