Luxoft is hiring an experienced Business Analyst / Data Modeller to join a strategic data transformation programme within the Capital Markets domain. This is a high-profile opportunity to play a key role in the delivery of a next-generation Snowflake-based data warehouse and integration platform, supporting a portfolio management ecosystem used by global asset managers. You’ll work at the intersection of business, data and technology, helping to define enterprise-wide data models across a broad range of financial instruments while collaborating with senior stakeholders across technology, product and client delivery teams.
What You’ll Be Doing
- Define and maintain data models covering a wide range of financial instruments across FX, Money Markets, Interest Rate Derivatives and Equity Derivatives
- Drive alignment between technical delivery and business objectives
- Standardise data representations across multiple trade types and source systems
- Build a clear understanding of upstream and downstream system dependencies and data consumption requirements
- Promote and drive the adoption of AI capabilities across the programme
- Facilitate workshops to gather, challenge and refine business and data requirements
- Engage with senior stakeholders across technology, product and client-facing functions
- Manage delivery risks, dependencies and communications throughout the programme lifecycle
What We’re Looking For
- Strong Business Analysis and Data Modelling background
- Experience with enterprise data warehouse or data platform programmes
- Solid understanding of modern data architectures, including Snowflake
- Knowledge of ETL/ELT processes, APIs, data pipelines and data modelling concepts
- Understanding of financial instruments across FX, MM, IRD and EQD products
- Experience analysing data formats such as XML and FpML
- Knowledge of SAP environments
- Strong Agile delivery experience, including Jira and Confluence
- Exceptional stakeholder management and communication skills
Nice to Have
- Previous delivery experience on Snowflake implementations
- Financial services data governance and regulatory knowledge
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