Lead Business Analyst

<div class="content-intro"><p><strong>About Rimes</strong></p> <p>Rimes provides enterprise data management solutions to the global investment community. Driven by our passion for solving the most complex data problems, we provide our clients with investment intelligence that powers more than US$75 trillion in assets under management annually. The world’s leading institutional investors, asset managers and service providers rely on Rimes to help them make better investment decisions using accurate information and industry-leading technology.</p></div><p class="pf0"><strong><span class="cf0">Role Summary</span></strong></p> <p class="pf0"><span class="cf2">The <strong>Lead / Senior Business Analyst </strong>is responsible for driving requirements discovery, cross‑functional alignment, and solution clarity across a large‑scale, multi‑stream data transformation programme. This role blends advanced business analysis with selected project‑management responsibilities, enabling end‑to‑end delivery of complex data workstreams while maintaining strong relationships with internal and external stakeholders.</span></p> <p class="pf0"><span class="cf2">The role will operate across discovery, requirements definition, data onboarding, solution design execution , testing coordination and support, and readiness activities, ensuring clarity, traceability, and quality of all business requirements.</span></p> <p class="pf0"><strong><span class="cf3">Key Responsibilities</span></strong></p> <p class="pf1"><span class="cf3">Requirements Leadership &amp; Analysis</span></p> <ul> <li class="pf2"><span class="cf2">Lead discovery sessions to understand business processes, data flows, operating models, and functional/non‑functional requirements.</span></li> <li class="pf2"><span class="cf2">Document clear, structured requirements, user stories, and acceptance criteria across data ingestion, data mastering, data quality, and downstream integration.</span></li> <li class="pf2"><span class="cf2">Reformulate unclear requirements and ensure full alignment across business, technical, and operations stakeholders.</span></li> </ul> <p class="pf1"><span class="cf3">Stakeholder Engagement &amp; Relationship Management</span></p> <ul> <li class="pf2"><span class="cf2">Act as the primary liaison between internal delivery teams, data SMEs, engineering, operations, and client teams.</span></li> <li class="pf2"><span class="cf2">Build strong relationships with senior internal and external stakeholders; articulate progress effectively in structured forums.</span></li> <li class="pf2"><span class="cf2">Manage expectation setting, requirement validation, and change impacts with diplomacy and clarity.</span></li> </ul> <p class="pf1"><span class="cf3">Cross‑Stream Coordination (Hybrid PM Responsibilities)</span></p> <ul> <li class="pf2"><span class="cf2">Own workstream planning, scheduling, RAID management, and cross‑team alignment.</span></li> <li class="pf2"><span class="cf2">Coordinate activities across requirements, data onboarding, engineering, solution design, testing, and go‑live readiness.</span></li> <li class="pf2"><span class="cf2">Provide RAG status updates and ensure inter‑stream dependencies and risks are well understood.</span></li> </ul> <p class="pf1"><span class="cf3">Testing, Validation &amp; Cutover Support</span></p> <ul> <li class="pf2"><span class="cf2">Support testing strategy design and ensure requirements traceability through UAT, data validation, and cutover events.</span></li> <li class="pf2"><span class="cf2">Coordinate automated tests, foundational data checks, and AB comparisons across old vs. new data platforms.</span></li> </ul> <p class="pf0"><span class="cf2">Data Coordination, Analysis &amp; Gap Assessment</span></p> <ul> <li class="pf2"><span class="cf2">Coordinate data‑related activities with internal teams (e.g., Data Management, Operations, Engineering) and with client stakeholders to ensure all data requirements are clearly understood, documented, and sequenced appropriately</span></li> <li class="pf2"><span class="cf2">Conduct data analysis, including reviewing existing datasets, mappings, data structures, business rules, and transformations to identify gaps, ambiguities, or inconsistencies that impact downstream processes.</span></li> <li class="pf2"><span class="cf2">Perform gap analysis between current‑state and target‑state data models, data onboarding requirements, and operational workflows.</span></li> <li class="pf2"><span class="cf2">Ensure all data requirements, validation rules, and dependencies are captured clearly and communicated to the relevant technical and operational teams.</span></li> <li class="pf2"><span class="cf2">Track progress of data readiness activities (dataset preparation, mapping completion, validation steps) and ensure they align with workstream milestones, without owning any vendor or licensing tasks.</span></li> </ul> <p class="pf1"><span class="cf3">Governance &amp; Reporting</span></p> <ul> <li class="pf2"><span class="cf2">Produce clear workstream packs, status updates, requirement traceability matrices, and risk/issue reports.</span></li> <li class="pf2"><span class="cf2">Present updates to Working Groups and Steering Committees when required.</span></li> </ul> <p class="pf0"><strong><span class="cf2">Key Requirements:</span></strong></p> <ul> <li class="pf0"><span class="cf0">5+ years in business analysis and/or project management, ideally within financial services, investment data, or enterprise data platforms.&nbsp;</span></li> <li class="pf0"><span class="cf1">Strong background leading&nbsp;multi-stream,&nbsp;complex, or&nbsp;data-heavy transformation&nbsp;programs&nbsp;&nbsp;within&nbsp;financial services, investment data, or enterprise data platforms.&nbsp;&nbsp;</span></li> <li class="pf0"><span class="cf1">Hands-on experience with:&nbsp;&nbsp;Requirements gathering, user stories, acceptance criteria.&nbsp;</span><span class="cf0">, </span><span class="cf1">Cross-functional delivery across data, engineering, operations, and testing.RAID, RAG reporting, dependency management, and structured&nbsp;governance.&nbsp;</span></li> <li class="pf0"><span class="cf1">Deep practical knowledge of&nbsp;investment data domains&nbsp;(Security Master, Price Master, Issuer Master, benchmarks/index data)&nbsp;</span></li> <li class="pf0"><span class="cf1">Bonus: exposure to cloud data platforms (Databricks, Snowflake) and regulated or high‑control environments.&nbsp;</span></li> </ul> <p class="pf0"><strong><span class="cf2">Preferred</span></strong></p> <ul> <li class="pf2"><span class="cf2">Experience with cloud‑based data platforms (Databricks, Snowflake, or similar).</span></li> <li class="pf2"><span class="cf2">Exposure to regulated environments or high‑control data operations.</span></li> <li class="pf2"><span class="cf2">Familiarity with investment data, market data onboarding, or securities reference data.</span></li> </ul><div class="content-conclusion"><p><em>Only selected candidates will be contacted for interviews. We appreciate your understanding. Thank you for considering a career with us.</em></p> <p>Rimes is committed to promote the values of diversity and inclusion throughout the business. Whether it’s through recruitment, retention, career progression or training and development, we are committed to improving opportunities for people regardless of their background or circumstances.</p> <p>Visit our <a href="https://www.rimes.com/careers">Careers</a> page to see our complete listings.</p></div>