Top Tech Jobs & Startup Jobs in London

Prepare accurate regulatory returns for the PRA, FCA, Bank of England, and EBA, including COREP and FINREP. Review reporting data, support regulatory reporting automation, improve data quality and extraction processes, maintain documentation, and collaborate with Finance, Risk, Treasury, Technology, and other stakeholders to meet regulatory deadlines and requirements.

Manage and publish website content across a multi-brand portfolio using Umbraco and headless or hybrid CMS setups. Support time-critical rate updates, optimize web media, perform content and release quality assurance, investigate CMS issues, coordinate website changes, and collaborate with developers and agencies. Use analytics, SEO, and AI visibility insights to improve customer journeys. Maintain publishing processes, documentation, approvals, testing records, and content quality.

Coordinates the end-to-end workflow for property valuation requests, including intake, triage, allocation, documentation, case tracking, service-level monitoring, operational reporting, supplier performance, reconciliations, audit trails, and data-quality controls. Supports RICS-qualified valuers while maintaining separation from technical valuation judgments and credit decisions. The role also identifies opportunities to streamline processes, reduce manual effort, and use AI to improve controls, reporting, and data quality.

Own the product roadmap and detailed behavior of Shawbrook’s Customer and Accounts platforms. Define API contracts, customer data rules, account lifecycles, integration standards, requirements, and acceptance criteria. Balance reliability, capability, migration, regulatory controls, and stakeholder priorities. Collaborate closely with engineers, consuming product squads, Operations, Finance, Data, Legal, and Risk teams. Lead platform migrations, testing, UAT, product sign-off, and communication of strategy to senior leadership.

Own the BAU IFRS9 process, produce and validate monthly outputs, develop and test model changes, maintain documentation and change logs, investigate model performance and movements, and support credit analysis and stakeholder queries. The role requires production-quality SAS and Python coding, credit risk reporting, impairment or capital modeling knowledge, and the ability to communicate analytical results to technical and non-technical audiences.

Develop and support IBM TM1 and Planning Analytics models, cubes, dimensions, hierarchies, TI processes, reports, dashboards, and finance workflows. Partner with Finance stakeholders to translate planning and reporting needs into reliable solutions. Administer the platform, including security, performance tuning, upgrades, troubleshooting, testing, documentation, and data governance. Provide user support and training while ensuring solutions meet regulatory and change-management requirements.

Provide analytical support to the Models & Analytics Manager: deliver data analytics for credit decisioning models, produce credit risk reporting packs, champion credit data quality, support Credit Risk reporting and ad hoc projects, and manage Impairment monthly controls and oversight.