3 of 3 Remote/Hybrid Risk Assessment Jobs in Manchester

communication and effective mitigation of risks arising across trading, portfolio activity, cash movement, payments and liquidity processes. Leads development and delivery of operational performance, risk and control reporting, ensuring meaningful insight into service levels, exceptions, incidents, reconciliations, liquidity indicators and emerging risks. Drives an ambitious continuous improvement agenda across … operational processes, using data, colleague insight, risk events and client outcomes to simplify activity, strengthen controls and improve service quality. Leads operational change agendas with confidence and discipline, ensuring change is appropriately planned, risk assessed, governed, tested, embedded and monitored, with clear accountability for readiness and post-implementation ...

security standards. Participate in sourcing and contract management for projects involving highly sensitive data or critical infrastructure, maintaining strict adherence to confidentiality protocols and risk mitigation strategies. Continuously monitor the market for emerging technology vendors, startups, and innovative suppliers to contribute fresh ideas and maintain a competitive edge … aptitude for building consensus around shared objectives. In-depth knowledge of data privacy regulations (such as GDPR), recognised cybersecurity standards (e.g., ISO 27001), vendor risk assessment methodologies, and best practices for mitigating third-party risks. Professional certification such as CIPS (Chartered Institute of Procurement & Supply), CPSM (Certified Professional ...

reducing waste, accelerating reviews, improving incident response, increasing release confidence). Architect and ship AI/LLM-enabled workflow automation across the SDLC (e.g., risk assessment, automated build, test and deployment, intelligent test selection, change-impact analysis, auto-triage of build/test failures). Establish policies … written communication (architecture docs, decision records, operating procedures). Experience building AI‐assisted developer tooling (e.g., CI insights, test intelligence, code review automation, release risk scoring, incident copilots). Experience implementing evaluation/monitoring for AI systems (quality metrics, drift, offline test sets, human feedback loops). Extensive experience ...