About This Role

7 years of experience

Skills: Business Analysis, Capital Markets, Data Mapping, Data Modelling, Trade & Order Lifecycle, Fixed Income / FX / Equities / Listed Derivatives, SQL, JSON, Vendor Integration, Data Validation, Regression Testing, Agile, Git, Stakeholder Management, FIX Protocol

About the Role

We are looking for a Senior Business Analyst to join a data engineering programme within a capital markets environment. The role focuses on data standardisation and vendor integration — defining how trade and order data from multiple external sources is normalised, validated, and consumed by downstream systems.

Key Responsibilities

- Analyse and document data from external vendors — exchanges, brokers, and inter-dealer platforms — and define how it maps to internal data models.
- Produce clear, detailed mapping specifications including transformation logic, conditional rules, and default handling.
- Define validation rules and data quality acceptance criteria.
- Design regression test scenarios to verify data accuracy across vendor integrations.
- Lead the data analysis workstream for new vendor onboardings — gap analysis, field mapping, and stakeholder alignment.
- Collaborate with engineers to ensure data mappings meet technical and performance requirements.
- Coordinate across workstreams, track deliverables, and report progress to programme leadership.
- Maintain documentation of data models, mapping logic,



and vendor-specific considerations.

What We're Looking For

- 7+ years as a Business Analyst in capital markets.
- Strong understanding of asset classes — Fixed Income, FX, Equities, and Listed Derivatives.
- Deep knowledge of order and trade lifecycle — order types, execution strategies, multi-leg structures, and clearing flows.
- Experience with data mapping and data modelling between source and target systems.
- Comfortable with JSON, SQL, and schema-based validation approaches.
- Experience defining test cases for data transformation or integration projects.
- Programme-level awareness — managing dependencies, tracking delivery across parallel workstreams, and stakeholder reporting.
- Familiar with Git and working alongside engineering teams in an Agile delivery model.

Nice to Have

- Exposure to kdb+ / q or time-series databases.
- Understanding of FIX protocol or similar market data message formats.
- Experience with automated data validation.
- Prior work normalising data across multiple vendor feeds.

Soft Skills

- Sharp analytical thinking — able to unpick complex data structures and translate them into explicit specifications.
- Precise written communication for technical documentation.
- Comfortable bridging business and technology stakeholders.
- Self-directed — able to manage multiple vendor onboardings in parallel.

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