Job Opportunities API

ace has been engaged by a leading UK-headquartered wealth and asset management firm to support a multi-year technology transformation programme. The organisation manages assets across discretionary wealth, Responsible Investment (RI), charity, and institutional mandates, and is undergoing significant change: custody outsourcing to a global custodian, consolidation of its data platform on Snowflake, and a strategic initiative to build enterprise data foundations that will underpin AI, analytics, and regulatory capability for the next five years.    We are seeking an experienced Data Architect to define, evolve, and govern the canonical data models that will underpin the firm's investment, client, and operational data domains. This is a high-impact role focused on models that get implemented and adopted, not documentation only. The successful candidate will bridge modelling and engineering: translating logical models into implementation-ready artefacts consumed by Snowflake, downstream analytics, and integration layers.    This role is critical to enabling the organisation to move from fragmented, siloed data to a coherent, governed enterprise data model that powers scalable growth. This is a full-time position for an initial 3-month contract, for a Q3 start date. Responsibilities: Canonical Data Modelling  Define, evolve, and govern enterprise canonical data models across the firm's core buy-side data domains: positions, valuations, transactions, orders, client/AUM data, reference data, ESG/RI data, and benchmarks.  Model the investment lifecycle end-to-end: order generation, execution, allocation, settlement, corporate actions, performance attribution, and accounting impacts (IBOR/ABOR).  Establish clear semantics, entity relationships, identifiers, lineage, and versioning across all canonical models.  Define golden-source ownership for each data domain and document data lineage from source system to enterprise model to consumption layer.    Standards & Industry Frameworks  Apply and map relevant buy-side industry standards including ISO 20022, FIX protocol, SWIFT messaging, GIPS, and relevant regulatory reporting frameworks.  Evaluate and apply Open Standards where applicable (e.g., FINOS CDM for buy-side, FinDaF data vocabulary) to accelerate canonical model development.  Ensure ESG and Responsible Investment data structures meet evolving regulatory and client disclosure requirements (e.g., SFDR, TCFD, SDR).    Data Domains & Integration  Lead modelling for ingestion and harmonisation of:  Investment data: positions, trades, allocations, corporate actions, valuations, performance  Client data: AUM, mandate structures, client hierarchies, fee agreements, suitability profiles  Market & reference data: pricing, benchmarks, security master, counterparties, identifiers (ISIN, SEDOL, LEI)  ESG/RI data: ESG scores, engagement records, screening criteria, voting data, impact metrics  Operational data: reconciliations, exceptions, custody instructions, settlement status  Define data models to support the firm's custody outsourcing programme, including data exchange specifications with the global custodian.  Partner with Snowflake engineering teams to ensure canonical models are correctly implemented as Snowflake schemas, including transformation logic, data quality rules, and access patterns.    Stakeholder & Domain Collaboration  Work across Investment Management, Portfolio Management, Investment Operations, Distribution, Finance, and Compliance to ensure models support valuation inputs, performance reporting, client analytics, reconciliations, and regulatory submissions.  Partner with the ESG/Responsible Investment team to model RI-specific data structures including company screening data,