Senior Data Modeller | Capital Markets Data Platforms
Luxoft · London Area, United Kingdom
Apply & track with Apply EdgeShape the Data Foundation Behind Global Capital MarketsWe're seeking an experienced Data Modeller to play a key role in the evolution of a strategic data platform supporting global investment and trading operations. This is an opportunity to work at the heart of a complex capital markets environment, designing enterprise-scale data models that support a broad range of financial products, trading workflows, and downstream consumer applications. You'll collaborate with business stakeholders, architects, engineers, and product teams to define how critical financial data is structured, governed, and consumed across the organisation.The OpportunityAs a Senior Data Modeller, you'll be responsible for designing and standardising data models across a diverse set of asset classes and business domains. You'll combine deep capital markets knowledge with strong analytical and data modelling expertise, helping to create a consistent representation of trading, portfolio, market, and reference data across a sophisticated technology landscape. This is a highly visible role with significant stakeholder interaction and the opportunity to influence both strategic data architecture and business outcomes.What You'll Be DoingDesign and maintain logical and physical data models for capital markets platformsDefine standardised representations for a broad range of financial instruments and trade typesEnsure alignment between business requirements and data architectureAnalyse complex trading and investment workflows to identify data requirements and dependenciesWork closely with engineering and architecture teams to support platform deliveryBuild a comprehensive understanding of upstream and downstream data consumersFacilitate workshops to gather, validate, and refine business and data requirementsPromote data quality, consistency, and reusability across the organisationSupport data integration initiatives across multiple platforms and systemsPartner with stakeholders across technology, product, operations, and client-facing teamsLeverage modern technologies and AI-assisted approaches to improve analysis and delivery outcomesWhat We're Looking ForStrong experience as a Data Modeller, Business Analyst, or Data Architect within Capital MarketsProven track record working on enterprise data platform, data warehouse, or integration initiativesDeep understanding of financial products and market data structuresExperience modelling data across multiple asset classes, including: FX, Money Markets, Interest Rate Derivatives (IRD), Equity Derivatives (EQD)Strong knowledge of trade lifecycle and financial instrument modellingExperience defining canonical data models and data standardsUnderstanding of modern data architectures and integration patternsFamiliarity with data engineering concepts including: ETL/ELT, Data pipelines, APIs, Data integration frameworksAbility to engage effectively with architects, engineers, and senior business stakeholdersTechnical & Data SkillsExpertise in logical, conceptual, and physical data modellingStrong understanding of data lineage, data flows, and system integrationsExperience working with XML, fPML, and other financial messaging/data formatsAbility to analyse complex data structures across multiple systemsExperience supporting data governance and quality initiativesFamiliarity with Agile delivery methodologies and tools such as Jira and ConfluenceDesirable ExperienceAsset Management or Portfolio Management platformsFinancial data platforms and enterprise data ecosystemsTrade capture, risk, valuation, or reporting systemsRegulatory reporting and financial data governance initiativesMurex or similar capital markets platformsEnterprise-scale data transformation programmesAI-assisted analysis and delivery practicesWhy Join?✅ Work on complex, business-critical capital markets platforms✅ Influence strategic data architecture and enterprise data modelling standards✅ Collaborate with senior stakeholders across business and technology✅ Exposure to multiple asset classes and sophisticated trading environments✅ Opportunity to shape the future state of a large-scale financial data ecosystem✅ Challenging and highly visible role with significant impact