10 of 10 Risk Analysis Jobs in the East of England

Security Consultant, with a strong background in Penetration Testing. As a Cyber Security Consultant, you will draw on your Penetration Testing background to deliver risk analysis reporting, reporting into senior leadership. What they are looking for: Strong background in Penetration Testing Extensive Cyber Security experience Strong stakeholder management … skills Risk analysis and reporting experience is advantageous, but not required This is an exciting opportunity for an experienced Cyber Security Consultant to join a truly world-class business, which will give you access to incredible learning and development opportunities, and work on assignment with an equally exciting ...

expand, including the use of common tooling that will facilitate the tracking and reporting of assurance actions. We are also developing NIST-compliant risk assessment methodology and tooling that is raising our quality and customer confidence, you will be part of these developments. The role in P-ITSM … scoping, coordination and remediation management Solid understanding of Confidentiality, Integrity, Availability and Safety (CIA+S) and practical experience in applying that understanding in management of risk and response to events and changes Experience of process involved in gaining and maintaining accreditation for secure/sensitive systems using structured Risk ...

only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. Platform overview: The Role We're hiring an Applied … market data A growing recommendation engine and inference services (separate ML services, not monoliths) Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis Microservice APIs (FastAPI or similar) connecting data, ML inference, and product Cloud-native AI infrastructure across Azure/GCP/AWS Continuous refinement of existing ...

only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. Platform overview: The Role We're hiring an Applied … market data A growing recommendation engine and inference services (separate ML services, not monoliths) Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis Microservice APIs (FastAPI or similar) connecting data, ML inference, and product Cloud-native AI infrastructure across Azure/GCP/AWS Continuous refinement of existing ...

only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. Platform overview: The Role We're hiring an Applied … market data A growing recommendation engine and inference services (separate ML services, not monoliths) Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis Microservice APIs (FastAPI or similar) connecting data, ML inference, and product Cloud-native AI infrastructure across Azure/GCP/AWS Continuous refinement of existing ...

only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. Platform overview: The Role We're hiring an Applied … market data A growing recommendation engine and inference services (separate ML services, not monoliths) Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis Microservice APIs (FastAPI or similar) connecting data, ML inference, and product Cloud-native AI infrastructure across Azure/GCP/AWS Continuous refinement of existing ...

only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. Platform overview: The Role We're hiring an Applied … market data A growing recommendation engine and inference services (separate ML services, not monoliths) Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis Microservice APIs (FastAPI or similar) connecting data, ML inference, and product Cloud-native AI infrastructure across Azure/GCP/AWS Continuous refinement of existing ...

only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. Platform overview: The Role We're hiring an Applied … market data A growing recommendation engine and inference services (separate ML services, not monoliths) Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis Microservice APIs (FastAPI or similar) connecting data, ML inference, and product Cloud-native AI infrastructure across Azure/GCP/AWS Continuous refinement of existing ...

standards, trade-offs, and best practices. Participating in the evaluation and selection of appropriate technologies and frameworks for software projects. Conducting security assessments and risk analyses of technologies and software systems, by identifying potential vulnerabilities and threats, and developing mitigation strategies. Supporting continuous improvement, through identifying areas for process ...

meet challenging technical requirements for new products. Ensure Process Performance: Oversee process modules, ensuring optimal integration and interaction. Implement Robust Data-Driven Decisions: Use risk analysis and statistical control (SPC) to guide new process introductions. Lead Change Management: Maintain rigorous change control in a fast-paced, dynamic environment. … understanding of how process variations impact device performance. Proven ability to manage process integration projects and deliver on schedule. Excellent problem-solving and data analysis skills, with experience in SPC (Statistical Process Control). Strong leadership and communication skills to engage across departments. Ready to Drive Semiconductor Innovation ...