Capital Markets Data Architect

1w1 week ago

G MASS Consulting

London, GB · Part-time · £140,000 – £180,000

About this role

Partnered with a prestigious leading global organisation to appoint an experienced Data Architect. Define, evolve, and govern front-to-back canonical data models underpinning capital markets trading, risk, and finance outcomes. High-impact role focused on models that get implemented and adopted, not documentation-only.

Work across complex capital markets workflows and modernisation programmes including standardisation, event-driven architecture, and data platform uplift. Partner closely with senior stakeholders across Front Office, Risk, Finance, and Technology. Bridge modelling and engineering by translating logical models into implementation-ready artefacts like schemas, API contracts, and validation rules.

Role is 2 days per week advisory, based in London with some potential EMEA travel. Engage with full trade lifecycle from order to settlement, lifecycle events, and collateral. Apply industry standards such as FpML and ISDA CDM for mappings and harmonisation.

Lead modelling for market data, trade data, and order data ingestion. Establish governance practices including naming standards, business glossary, and change control. Provide architectural input into target-state data platforms and mentor on model adoption.

Requirements

Proven data modeller experience in capital markets, ideally within top-tier banks
Strong front-to-back understanding with FpML and ISDA CDM interpretation and mapping
Strong knowledge of market data, trade data, and order data domains and interrelationships
Background as an object-oriented software developer (Java/C#/C++) to bridge modelling and engineering
Strong modelling fundamentals: entity/event modelling, lifecycle transitions, identifiers, reference data, schema versioning

Responsibilities

Define, evolve, and govern enterprise canonical data models for capital markets across the full trade lifecycle
Model complex products and lifecycle state with clear semantics, identifiers, lineage, and versioning
Apply and map industry standards including FpML for trade representation and ISDA CDM for lifecycle events
Lead modelling for ingestion and harmonisation of market data, trade data, and order data
Partner with Front Office, Finance, Market Risk, and Credit Risk to support valuation, exposures, and reporting
Translate logical models into implementation-ready artefacts: schemas, API contracts, event models, validation rules
Establish model governance practices: naming standards, business glossary, metadata, change control, versioning
Provide architectural input into data platforms and integration patterns, mentor engineers on adoption