Average Risk Analyst salary in the UK

Hi All, I'm currently recruiting for Risk Analyst with @RISK & Safran Software experience, to join the railway sector on a 6 months contract basis. Essential Experience Familiar with @RISK SoftwareUser of Safran SoftwareCan produce reports and run a complicated risk analysisRail experience would be beneficial Interviews will start as soon good candidates are available, if you are interested do not delay the response and forward you updated CV today. If you would like to discuss further about this opportunity or others in the UK Public Sector, please contact us (extension 8144) and ask for Cristina Ghenu or you may email me at

We are seeking a senior cyber catastrophe analyst to join the Cyber Analytics team of a prominent reinsurance broker. This exciting role offers the opportunity to work with key figures in the cyber insurance market and to communicate modelling output and portfolio insights that help clients make informed insurance and reinsurance decisions.The cyber reinsurance market has been growing rapidly in recent years, making this an excellent opportunity to join a dynamic and expanding area. The successful candidate will work within the London-based cyber analytics team and will be responsible for building client relationships, delivering catastrophe modelling analytics, and developing bespoke modelling and data solutions.The analytics team is widely recognised in the industry for its expertise. The team provides clients with trusted advice across a broad range of areas, from natural and man-made catastrophes (including terrorism and cyber) to capital management and portfolio optimisation solutions.Key Responsibilities In this role, your day could include: Using cyber risk and reinsurance models to generate and present modelling output and portfolio insights for clientsWorking closely with brokers and actuaries to support client relationships, including creating and delivering presentations, maintaining regular touchpoints, and understanding reinsurance needsSupporting team efforts to develop, automate, and maintain global data sets and analytics offerings, with opportunities to take on ownershipReviewing and stress-testing various cyber vendor models, contributing to the development of a consolidated view of the current modelling landscapeCollaborating with global colleagues to maintain a coordinated strategy and best practicesStaying up to date with developments in the cyber (re)insurance market and evolving cyber risk landscape Skills & Qualifications The ideal candidate will have: Prior experience with end-to-end catastrophe modellingFamiliarity with cyber catastrophe models (e.g. CyberCube, Moody's RMS, Guidewire) is advantageous but not essentialA passion for delivering value to clientsStrong attention to detail and problem-solving skills, with the ability to apply knowledge to novel challengesThe ability to work effectively as part of a dynamic, collaborative teamCapacity to manage significant work-flow and respond quickly to clients' needs and prioritiesKnowledge of a coding language (e.g. VBA, Python, SQL, R) is highly beneficial Visit the IDEX Consulting Ltd website for further opportunities. Please note that the information supplied may be retained for up to 10 years for use in connection with future vacancies. For full information on how we use your data, please visit the IDEX Consulting website and view our Privacy Policy. Our Diversity, Equity and Inclusion Mission At IDEX, we strive for an inclusion-first company culture where everyone is treated fairly and can bring their authentic selves to work. We recognise and acknowledge that diverse representation at every level of our business requires continuous and measurable effort. We are committed to driving conscious inclusion across our business and creating equitable pathways.

Job Description: Credit Risk ManagerWe are seeking a highly skilled and motivated Credit Risk Manager. The successful candidate will be responsible for leading the development of retail credit risk models, focusing on IFRS 9 and IRB. This role will directly report to the Partner/Technical Director and will manage a team of Senior Consultants, ensuring high-quality delivery across client engagements.Key ResponsibilitiesLead the end-to-end development, enhancement, and maintenance of retail credit risk models (PD, LGD, and EAD) under IFRS 9 and IRB frameworks.Oversee and guide the modelling team (Senior Consultants) to deliver regulatory-compliant, statistically robust, and business-relevant modelsEnsure adherence to PRA, EBA, and Basel 3.1 requirements, addressing regulatory feedback and embedding best practices in model risk managementConduct and review statistical analysis, back-testing, calibration, and monitoring of models to ensure accuracy and predictive powerProvide technical expertise in Python, SAS, and SQL for model implementation and reviewEngage with stakeholders including regulators, model validation teams, and senior management to present methodologies, assumptions, and resultsDrive innovation in modelling approaches, incorporating machine learning and advanced statistical techniques where appropriateEnsure proper documentation of model development, governance, and monitoring processesContribute to thought leadership, training, and mentoring of junior team members to build modelling capability within the consultancyManage project plans, resources, and deliverables to meet client deadlines and internal quality standards.Required Qualifications and ExperienceStrong academic background, ideally MSc or PhD in a quantitative field (Mathematics, Statistics, Economics, Finance, or related discipline)Proven experience in developing, calibrating, and validating retail credit risk models under IFRS 9 and/or IRB regulatory frameworksExtensive knowledge of PRA and EBA regulatory guidelines for credit risk modellingProficiency in programming languages and tools such as Python, SAS, and SQL for data analysis and model developmentStrong understanding of statistical methods including logistic regression, survival analysis, and machine learning techniquesExcellent stakeholder management skills with experience in presenting technical results to non-technical audiences, including regulatorsExperience in mentoring or managing junior analysts or consultants in a modelling functionAbility to manage multiple projects simultaneously while maintaining high quality standardsDesirable SkillsExperience working within Tier 1 banks, challenger banks or consultanciesExposure to climate risk, stress testing, and capital modelling frameworks (ICAAP, CCAR)Knowledge of model risk management principles (e.g., SR 11-7, PRA SS1/23)Track record of innovation in modelling approaches, including use of advanced analytics and automationReporting LineThis role reports directly to the Partner/Director and manages a team of Senior Consultants. The Manager will play a key role in ensuring the delivery of high-quality, regulatory-compliant credit risk modelling solutions to our clients