Senior Business Analyst, Data Integration & Performance Platform (12-Month Contract

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This is a senior role on a multi-year investment platform transformation that is replacing our core investment book of record with Black Rock Aladdin and building a new cloud data platform on Snowflake. We are not staffing a documentation function. We are building a data capability that has to run reliably long after go-live.

You will sit inside the Investment Finance and Operations Platforms group and work across four delivery areas. The program is fast moving and priorities shift, so you should expect to move between these areas as the work demands:

• Conversion. Conversion of holdings, transactions and reference data from legacy platforms into Aladdin, including reconciliation and break resolution through parallel run.
• Data Integration. System and vendor integrations into and out of Aladdin across order management, treasury, private markets and market data providers.
• Data Platform. Build-out of our Snowflake based Integrated Data Platform using a medallion pattern, including data modelling, data quality controls and lineage.
• Custom Solutions. Design of capabilities that close gaps between Aladdin native functionality and what our investment, risk, performance and finance teams require.

This team also operates the current production investment data platforms, spanning performance, accounting, order management and integration. You will spend time working in that environment, because you cannot design the target state without understanding what today’s platforms actually do, which business processes depend on them, and which behaviours must be preserved through the transition. That current‑state knowledge is a deliberate part of the role, not a distraction from it.

Adaptability is the single most important attribute here, and you should expect to move between delivery areas as priorities shift.

• Elicit, document and own business and data requirements using the full analyst toolkit: business requirements documents, user stories and acceptance criteria, business process models (BPMN), data flow diagrams, and source to target mapping specifications.
• Perform hands‑on data analysis. You will query source and target systems yourself to profile data, investigate reconciliation breaks, validate transformations and prove that what was built is correct.
• Facilitate design sessions and workshops with investment, operations, risk, performance and finance stakeholders, and translate between business intent and technical design in both directions.

• Own a data capability end to end rather than a queue of requests. You will define the problem, shape the solution with engineers and architects, see it into production and stay accountable for whether it works.
• Turn multiple similar‑looking requests into one extensible capability. Where stakeholders ask for a specific instrument or report, you are expected to identify the underlying capability gap and design for the general case so the next request is an extension, not a new build.
• Design for operability from day one. Every capability you deliver must have a defined support model, monitoring, controls and documentation so it can be run by an operations team rather than remaining with the engineers who built it.

• Define and execute business test plans, including integration, performance and regression…