Lead Data Architect (Investment Management) (Contract)

Location: MAS: MAS Building

[What the role is]

We are looking for a senior, hands-on Data Architect to own the data design of our investment management platforms. You will define how investment data is sourced and ingested from multiple systems, structured and integrated within the organisation, governed and made available across front, middle and back office. You will stay close to implementation by producing models and specifications, reviewing build quality, and providing technical leadership to the team’s data specialists. The role must deliver solutions that meet MAS technology standards and applicable Whole of Government compliance requirements.

The role sits in a four-person delivery team set up to establish a unified investment data architecture that enables generative AI use cases. You will design and drive implementation of three unified data layers — portfolio holdings, structured market and economic data, and unstructured research, news and sell-side content — together with the reconciliation and retrieval infrastructure that supports specific use cases across the investment value chain. You will join at the start of the build phase, designing against a product vision and user stories.

[What you will be working on]

Data architecture and modelling

Design and develop the conceptual, logical and physical data models for investment data domains: security and reference data, positions and holdings, transactions, valuations and pricing, performance, benchmarks, risk, compliance, accounting and client reporting.

Define and govern golden-source, reference-data and master-data standards for instruments, parties, legal entities, accounts and portfolios, including identifier strategy, entity resolution, lifecycle states, schema versioning and change control.

Produce implementation-ready artefacts: DDL, transformation and mapping specifications, interface contracts and data quality rules.

Define the IBOR / ABOR data design and the reconciliation points between investment and accounting books of record, with end-to-end auditability.

Define source-to-target data flows and mappings centred on SimCorp Dimension, covering market and reference data vendors, custodians, counterparties, and downstream reporting and analytics.