This role isn't offering sponsorship, please only apply if you have the right to work in the UK already.

My client is seeking an experienced IT Data Business Analyst to support a major transformation programme for a leading Investment Management client. The client is outsourcing its middle office operations to State Street and implementing CRIMS, with a strong focus on the State Street Alpha Data Platform.

This role sits at the intersection of business, data, and technology, requiring deep investment management data expertise and the ability to translate business needs into detailed technical specifications.

Key Responsibilities

• Work closely with business stakeholders, IT teams, and third-party vendors to gather and document data requirements
• Analyse and map investment data across front, middle, and back-office functions
• Define and document data flows, data models, and integration points, particularly relating to the State Street Alpha platform
• Produce clear, structured functional and technical specifications for data solutions
• Support the implementation of CRIMS and integration with outsourced middle office services
• Perform data gap analysis, data lineage tracking, and data quality assessments
• Facilitate workshops and act as a bridge between business and technical teams

Required Skills & Experience

• Strong experience as a Business Analyst within Investment Management (essential)
• Deep understanding of investment data domains (e.g. trades, positions, securities, pricing, corporate actions)
• Experience working with outsourced operating models, ideally involving State Street
• Knowledge of the State Street Alpha Data Platform (highly desirable)
• Proven ability to write detailed technical requirements and data specifications
• Experience with data mapping, data modelling, and data integration projects
• Familiarity with middle office processes and systems
• Strong stakeholder management and communication skills

Desirable

• Experience with CRIMS or similar investment data platforms
• Knowledge of data governance and data quality frameworks
• Exposure to large-scale transformation or outsourcing programmes