CMIL Climate Data and Risk Analyst

Introduction

Established in 1951, IOM is a Related Organization of the United Nations and the leading UN agency in the field of migration. Working closely with governmental, intergovernmental and non-governmental partners, IOM promotes humane and orderly migration for the benefit of all. It saves lives and protects people on the move, drives solutions to displacement, and facilitates pathways for regular migration, while providing services and advice to governments and migrants.

IOM is committed to fostering a respectful, inclusive and supportive workplace where all employees can thrive professionally and feel valued. By creating such an environment, IOM aims to better harness the full potential of migration and strengthen its support to people on the move.

Project Context and Scope

The Climate Mobility Innovation Lab (CMIL), hosted by the International Organization for Migration (IOM), was established to address the nexus between human mobility and climate change. The Lab fosters innovation and partnerships to tackle the complex challenges posed by climate change and human mobility across the Mediterranean, Africa, Asia-Pacific and beyond.

Central to this work is the Risk Index for Climate Displacement (RICD), an operational foresight tool that enhances understanding of climate-induced displacement dynamics — including its drivers, triggers, and tipping points. The RICD supports the identification of current and future displacement hotspots and trends, providing actionable insights for policymakers and investors.

Organizational Department / Unit to which the Consultant is contributing

Climate Mobility Innovation Lab (CMIL)

This is a remote position and may require occasional international travel.

Tasks to be performed under this contract

• Data Analysis, Modelling, and RICD Technical SupportConduct quantitative analysis of climate displacement risk data across CMIL priority countries, in particular in countries with low analytical capacity. Generally this work will take place with expert partners but may also involve independent technical work. Review, stress-test, and propose targeted improvements to existing RICD modelling approaches, including assumptions, indicators, weighting, and aggregation methods.Support the development and adaptation of micro-level analysis methodologies combining quantitative and qualitative elements.Contribute to the RICD methodological working group, providing technical inputs on modelling design, indicator selection, and data quality.Support the integration of hazard-specific displacement risk assessments (e.g. flood, drought, heatwave) and vulnerability dimensions (e.g. conflict) into the RICD analytical framework.Ensure gender-sensitive data considerations are reflected in analytical outputs.Support alignment of RICD analytical approaches with CMIL colleagues in other regions and IOM HQ.Develop and improve hazard, exposure, and vulnerability simulations in key hotspots.Data Sourcing, Quality Improvement, and InteroperabilityIdentify gaps in country-level climate and displacement data and work with national partners and IOM missions to source, clean, and validate relevant datasets.Assess the quality, coverage, and reliability of available data at country level across CMIL priority countriesDevelop or adapt data processing workflows to improve consistency, comparability, and usability of datasets within the RICD framework.Improve the interoperability of data across different sources, formats, and scales — including government administrative data, household surveys, and remote sensing products.Propose and apply proxy indicators or methodological workarounds where primary data is unavailable or of insufficient quality.Capacity Building and Technical Support to PartnersProvide hands-on technical support and training to national technical staff and local partners on data collection, processing, and analytical methods relevant to climate displacement risk.Support partners in understanding, applying, and contextualising RICD outputs at country level, including through guidance notes and direct accompaniment.Develop simplified technical materials and training resources tailored to varying levels of technical capacity among partner institutions.Support the co-creation process for RICD, including technical inputs to national working groups, facilitating technical session of national workshops, presenting at regional symposiums.Analytical Backstop and Knowledge ProductsServe as an analytical support, where required for the CMIL teams globally, supporting colleagues on data queries, output interpretation, and quality assurance of analytical products.Contribute to RICD reports, technical briefs, and other knowledge products, translating findings into accessible outputs for policy and programme audiences.Support the validation of analytical findings with national and regional counterparts involved in RICD implementation.Other DutiesConduct field visits as required, including to hardship locations.Undertake any other duties assigned by the supervisor.

Education

• Master's degree relevant to climate adaptation, environmental science, migration, data science or similar.

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, including identifying weaknesses and proposing improvements.
• Demonstrated experience working with incomplete, fragmented, or low-quality datasets in developing country or humanitarian contexts, and ability to apply practical solutions to data gaps.
• 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.

Skills

• Strong quantitative analytical skills, including data cleaning, processing, statistical analysis, and modelling.
• Proficiency in analytical tools such as R, Python, QGIS, or equivalent.
• Qualitative research skills, including designing and conducting household surveys, key informant interviews and focus group discussions.
• Ability to assess and improve data interoperability across formats, sources, and scales.
• Excellent written and verbal communication, with the ability to translate technical findings for non-specialist audiences.
• Ability to work independently while coordinating effectively with diverse technical partners across multiple countries.
• Strong organisational skills and ability to manage concurrent analytical workstreams.

Languages

Proficiency of language(s) required will be specifically evaluated during the selection process, which may include written and/or oral assessments.

Required Competencies

Notes

IOM covers Consultants against occupational accidents and illnesses under the Compensation Plan (CP), free of charge, for the duration of the consultancy. IOM does not provide evacuation or medical insurance for reasons related to non-occupational accidents and illnesses. Consultants are responsible for their own medical insurance for non-occupational accident or illness and will be required to provide written proof of such coverage before commencing work.

Any offer made to the candidate in relation to this vacancy notice is subject to funding confirmation.

Appointment will be subject to certification that the candidate is medically fit for appointment, accreditation, any residency or visa requirements, security clearances.

IOM has a zero-tolerance policy on conduct that is incompatible with the aims and objectives of the United Nations and IOM, including sexual exploitation and abuse, sexual harassment, abuse of authority and discrimination based on gender, nationality, age, race, sexual orientation, religious or ethnic background or disabilities.

IOM does not charge a fee at any stage of its recruitment process (application, interview, processing, training or other fee). IOM does not request any information related to bank accounts.

No late applications will be accepted. Only shortlisted candidates will be contacted.