Datamanager

Role purpose: Provide actuarial analysis and consulting support to help clients manage risk, optimize pricing and reserving, and meet regulatory and financial reporting requirements. - Perform actuarial modeling and analysis (e.g., pricing, reserving, experience studies, forecasting). - Develop, validate, and document assumptions, methodologies, and model outputs. - Prepare clear client-ready reports, presentations, and recommendations for stakeholders. - Support regulatory, statutory, and financial reporting deliverables as needed. - Collaborate with cross-functional teams (underwriting, finance, data, risk) to translate business needs into analytical solutions. - Maintain data quality, reconcile results, and explain variances and key drivers. - Contribute to project planning, timelines, and quality control for consulting engagements. Required skills and qualifications - Actuarial background: relevant degree and progress toward actuarial credentials (or equivalent experience). - Technical skills: strong quantitative analysis; proficiency with actuarial and data tools (e.g., Excel, SQL, R/Python, or similar). - Communication: ability to explain complex results to technical and non-technical audiences. - Consulting mindset: client focus, problem-solving, and ability to manage multiple priorities. - Attention to detail: strong documentation, governance, and validation practices. Note: Please provide the full job text to tailor this summary to the spe...