Senior ERM Consultant

Lead and execute complex exposure analyses, including multi-peril scenario runs, aggregation/clash assessments, and sensitivity testing across global portfolios. Translate business questions into analytical approaches; design, document and implement robust workflows to produce reproducible, auditable results. Produce and present high-quality reports and briefing materials to senior stakeholders (CROs, segment heads, committees), explaining analysis, assumptions and implications for risk appetite and capacity. Act as a technical lead during event response, delivering rapid and defensible gross/net loss estimates and coordinating with Cat Event Response teams. Drive improvements in exposure management capabilities by proposing and piloting process enhancements, automation, and new analytical techniques—especially for non-modelled or emerging risk lines. Help establish and maintain consistent scenario libraries, governance processes and cross-jurisdictional standards for exposure analysis. Collaborate across Risk teams to identify key insights, material movements and reconcile differences; ensure results are validated Support committee materials, governance reviews and regulatory reporting as required. Experience in exposure management, catastrophe modelling, reinsurance analytics, or related roles with demonstrated work on global portfolios and multi-jurisdictional issues. Strong technical skills: advanced Excel, SQL, and one or more scripting/programming languages (Python/R), and experience with data pipelines and automation. Practical knowledge of catastrophe models and exposure aggregation methodologies; experience with model vendors or open-source tools. Proven ability to produce clear executive-level presentations and to influence senior stakeholders. Demonstrated experience in event response and in working with Legal Entity/Segment CROs on exposure issues. Strong documentation, governance mindset, and experience ensuring reproducibility and auditability of analyses. Degree in actuarial science, statistics, mathematics, computer science, engineering, finance or related field; professional qualifications (e.g., actuarial exams) advantageous. Competencies typically acquired through a Bachelor`s degree in a quantitative field Advanced degree (MBA) and/or professional qualification in one or more areas of risk management is preferred, and 8 to 10 years of relevant experience Additionally, excellent quantitative analysis and modeling skills are required, in addition to significant experience in an analytical capacity (financial analysis, product management, actuarial, underwriting, etc) Working knowledge of ERM-related regulatory frameworks (Solvency II, NAIC ORSA, ComFrame) is a plus Very strong understanding of the risk characteristics of insurance industry required Excellent understanding of basic financial concepts and metrics, including financial statement analysis require