Top Tech Jobs & Startup Jobs in London

Senior Software Engineer responsible for designing, building, maintaining, and improving application software using Agile methodologies. The role includes developing new features, resolving complex issues, creating automated tests, supporting deployments and production monitoring, documenting changes, participating in planning and refinement, conducting code reviews, and mentoring engineers. The engineer will collaborate with QA, support, IT management, delivery teams, vendors, and business stakeholders while adhering to technical standards and considering performance and security requirements.

Supports the Head of Controls and Controls Testing Team by using data analytics to assess, monitor, and strengthen bank-wide internal controls. Performs control testing, identifies design and operational gaps, supports RCSA and risk decisions, reduces duplication and manual effort, and explores systemisation and AI integration. The role also develops repeatable data-driven insights, normalises data, assesses variances, and communicates improvement opportunities to stakeholders.

Supports the Head of Controls and Controls Testing Team by managing risk and control issues, reviewing closure evidence, prioritizing issues, supporting RCSA and control testing, conducting root cause analysis, and identifying thematic improvements. The role also enhances risk processes through systemization, reduced manual effort, and potential AI integration while providing structured reporting and stakeholder challenge across the bank.

Owns internal communications across Shawbrook’s business, including change communications, business updates, employee channels, all-staff calls, content calendars, and stakeholder engagement. The role develops proactive communication plans, translates business activity into engaging colleague stories, aligns internal messaging with external narratives, and measures channel effectiveness. It partners closely with HR and functional leaders while evolving digital communication channels and formats across multiple hubs and brands.

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.

Build and operate Python-based tools, data pipelines, analytical models, dashboards, and AI/ML solutions for Finance. Partner with Finance users to automate reporting, reconciliations, controls, and workflows. Deploy solutions on Azure using secure, governed software engineering practices, CI/CD, monitoring, and documentation. Collaborate with Data Engineering, Technology, and Risk teams while coaching Finance colleagues on Python, automation, and data tooling.

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.

Senior Credit Manager in the 2nd Line of Defence overseeing credit risk for Commercial Investment Real Estate, Specialty Finance and Asset Based Lending. Chairs credit approval committee, holds delegated lending authority, manages and develops a sector-focused credit risk team, monitors portfolio performance, ensures policy compliance, prepares committee papers, and drives process improvements and quality assurance across 1st and 2nd Line credit activities.

Manage a technical Decision Science team to own the BAU IFRS9 process, produce and validate monthly outputs, develop and test model/code changes, maintain documentation and change logs, investigate model performance and support credit analysis and stakeholder queries.

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.