Business Analyst
Project description
Our client is a leading global Financial market data provider who runs a change program aiming to migrate a set of legacy data connectors to a new strategic platform. The main driver is to deliver high-quality software that connects Financial Markets across the globe in a real-time, high frequency, and low-latency data management chain. The projects are technically challenging in an environment that is very engaging. Projects will utilize a multitude of different languages and skillsets with a focus on C++ and scripting languages.
Responsibilities
- - Elicitate, analyse, and document business and functional requirements - Facilitate workshops, stakeholder interviews, and discovery sessions - Produce user stories, acceptance criteria, process flows, and data models - Write technical and process documentation and explain it clearly to team members - Support sprint planning, refinement, and show-and-tell ceremonies - Identify dependencies, risks, and impacts across squads and value streams - Collaborate with developers, QA engineers, and DevSecOps teams to ensure shared understanding - Contribute to capability transfer and knowledge documentation (playbooks, runbooks)
SKILLS
Must have
- - 5+ years of solid experience as a Business Analyst in the software development industry - Understanding of exchange workflows, order lifecycle, market data feeds, and real-time processing - Expertise in gathering, analysing, and specifying requirements - Experience with writing technical and process documentation and explaining it to team members - Experience in business, systems, and engineering process modelling - Very good understanding of software development lifecycle and processes - Confidence in presentation skills - ability to capture attention and deliver key messages in a variety of contexts - Excellent communication skills, Advanced/Fluent English
Nice to have
- Knowledge of market data: Understanding of market data concepts and applications is advantageous. - Experience in simulator/trading systems: Familiarity with trading platforms and simulation environments is beneficial. - Experience in real-time data systems, market data platforms, and exchange/trading environments
