Job Description
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)