Job Purpose
As a member of the Smart Data Data R&D team, the Business Analyst will play a key role in the research, onboarding, and ongoing management of exchange and vendor market data feeds. This role requires close collaboration with global data providers and internal technology teams, combining strong data analysis skills with the ability to translate business needs into clear functional and technical specifications. The objective is to ensure accurate, timely, and scalable integration of instrument reference data into the firms reference data platform.
Key Responsibilities
- Perform in-depth research and analysis of financial market data to support the onboarding of exchange-traded derivatives and third-party vendor feeds.
- Source, analyze, validate, and reconcile instrument reference data and corporate actions across global exchanges and vendors.
- Conduct detailed feed analysis and data mapping to enable efficient and high-quality onboarding of new exchange and vendor data feeds.
- Work closely with Development and QA teams within an Agile/Scrum framework to explain data models, business rules, and functional and technical requirements.
- Produce clear and comprehensive documentation, including data flow diagrams, mapping specifications, and onboarding notes.
- Partner with technology and data stakeholders to build, maintain, and continuously enhance reliable, scalable, and resilient data ingestion processes.
Knowledge, Skills & Experience
- Hands-on experience collecting, validating, and reconciling data from multiple sources, including exchanges and market data vendors.
- Prior experience working within a Scrum or Agile delivery team.
- Strong understanding of data modelling concepts, feed analysis, and data mapping techniques.
- Solid knowledge of instrument reference data, corporate actions, and relevant financial industry standards.
- Experience working with equities, options, futures, derivatives, indices, ETFs, and fixed income.
- Familiarity with Bloomberg, LSEG Refinitiv, and SIX Financial Information.
- Working knowledge of SQL, MongoDB, and MS Excel.
- Comfortable using AI-assisted tools such as Amazon Q and Kiro.
- Excellent verbal and written communication skills.
- Flexibility to work across time zones and travel occasionally.
Qualifications
Graduate or Postgraduate degree with a minimum of 3 years experience in financial services or a similar data-focused role.
2-3 years96
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Job Description
Download ResumeJob Purpose
As a member of the Smart Data Data R&D team, the Business Analyst will play a key role in the research, onboarding, and ongoing management of exchange and vendor market data feeds. This role requires close collaboration with global data providers and internal technology teams, combining strong data analysis skills with the ability to translate business needs into clear functional and technical specifications. The objective is to ensure accurate, timely, and scalable integration of instrument reference data into the firms reference data platform.
Key Responsibilities
- Perform in-depth research and analysis of financial market data to support the onboarding of exchange-traded derivatives and third-party vendor feeds.
- Source, analyze, validate, and reconcile instrument reference data and corporate actions across global exchanges and vendors.
- Conduct detailed feed analysis and data mapping to enable efficient and high-quality onboarding of new exchange and vendor data feeds.
- Work closely with Development and QA teams within an Agile/Scrum framework to explain data models, business rules, and functional and technical requirements.
- Produce clear and comprehensive documentation, including data flow diagrams, mapping specifications, and onboarding notes.
- Partner with technology and data stakeholders to build, maintain, and continuously enhance reliable, scalable, and resilient data ingestion processes.
Knowledge, Skills & Experience
- Hands-on experience collecting, validating, and reconciling data from multiple sources, including exchanges and market data vendors.
- Prior experience working within a Scrum or Agile delivery team.
- Strong understanding of data modelling concepts, feed analysis, and data mapping techniques.
- Solid knowledge of instrument reference data, corporate actions, and relevant financial industry standards.
- Experience working with equities, options, futures, derivatives, indices, ETFs, and fixed income.
- Familiarity with Bloomberg, LSEG Refinitiv, and SIX Financial Information.
- Working knowledge of SQL, MongoDB, and MS Excel.
- Comfortable using AI-assisted tools such as Amazon Q and Kiro.
- Excellent verbal and written communication skills.
- Flexibility to work across time zones and travel occasionally.
Qualifications
Graduate or Postgraduate degree with a minimum of 3 years experience in financial services or a similar data-focused role.