Business Analyst (Regulatory Treasury Data Standardisation)

Robert Half International (an S&P 500 global staffing provider) is supporting a global consulting organisation in the search for a highly specialised Business Analyst (Regulatory / Treasury / Data Standardisation) to join a major regulatory initiative within a complex financial services environment. This is a hands-on delivery role reporting into senior leadership within a Treasury function, requiring strong regulatory expertise and deep analytical capability across data and documentation standardisation. Assignment Details: Initial 6-month contract (4–6 months delivery focus) Start Date: ASAP (fast-track onboarding) Location: London / Hybrid (onsite preferred) Day Rate: £400 p/day + 12.07% holiday pay (PAYE) Key Responsibilities: Reviewing and standardising c.150+ regulatory assessment documents containing ~2,500 management actions Ensuring consistency, completeness, and quality across all documentation (“up to spec” for regulatory scrutiny) Identifying gaps, weaknesses, and inconsistencies in management actions and associated data Supporting Bank of England / regulatory reporting and recovery planning requirements Working across Treasury and risk stakeholders to centralise and standardise outputs globally Supporting implementation of new regulatory requirements (e.g. step-in risk, ICAAP alignment) Exploring use of AI / automation tools to accelerate document review and data structuring Required Experience: Strong Business Analyst experience within Financial Services (banking essential) Proven regulatory / risk / compliance background (Treasury or capital reporting highly desirable) Experience supporting regulatory reporting (e.g.

ICAAP, PRA reporting, recovery planning) Demonstrable experience working with data-heavy and document-heavy programmes Strong analytical mindset and ability to work through high volumes of complex information Ability to operate independently in delivery-focused environments Nice to Have: Experience in capital reporting / Treasury functions Exposure to recovery & resolution planning or step-in risk frameworks Experience with Python, AI tools, or automation for data/document processing Background in regulatory remediation or audit-driven programmes (e.g. s166)