Overview
The CMIL Climate Data and Risk Analyst will contribute to the technical development and refinement of the Risk Index for Climate Displacement (RICD), focusing on data sourcing, processing, quality improvement, and model review.
Key Responsibilities
- Conduct quantitative analysis of climate displacement risk data.
- Review, stress-test, and propose improvements to RICD modelling approaches.
- Support the development and adaptation of micro-level analysis methodologies.
- Contribute to the RICD methodological working group.
- Support the integration of hazard-specific displacement risk assessments and vulnerability dimensions into the RICD.
- Ensure gender-sensitive data considerations are reflected in analytical outputs.
- Support alignment of RICD analytical approaches with CMIL colleagues.
- Develop and improve hazard, exposure, and vulnerability simulations.
- Identify gaps in climate and displacement data and work with partners to source, clean, and validate datasets.
- Assess the quality, coverage, and reliability of available data.
- Develop or adapt data processing workflows.
- Improve the interoperability of data across different sources, formats, and scales.
- Propose and apply proxy indicators or methodological workarounds.
- Provide technical support and training to national technical staff and local partners.
- Support partners in understanding, applying, and contextualising RICD outputs.
- Develop simplified technical materials and training resources.
- Support the co-creation process for RICD.
- Serve as an analytical support for CMIL teams globally.
- Contribute to RICD reports, technical briefs, and other knowledge products.
- Support the validation of analytical findings.
- Conduct field visits as required.
- Undertake any other duties assigned by the supervisor.
Required Experience
- Proven experience in conducting both quantitative and qualitative research on displacement-related issues.
- Strong understanding of datasets and data sources relevant to climate-induced displacement.
- Demonstrated experience in quantitative risk analysis, with applied knowledge of methods and tools relevant to climate or displacement risk assessment.
- Experience reviewing or contributing to risk indices, composite indicators, or similar modelling frameworks.
- Demonstrated experience working with incomplete, fragmented, or low-quality datasets in developing country or humanitarian contexts.
- Experience supporting or training national technical counterparts on data and analytical methods is an asset.
- Prior exposure to the RICD or comparable displacement risk tools is a strong advantage.
- Experience working with government counterparts, research institutions, or international organisations on climate or displacement data is desirable.
- Experience in humanitarian or hardship operational contexts is an asset.
Qualifications
Master's degree relevant to climate adaptation, environmental science, migration, data science or similar.
