Programme Policy Officer (Disaster Risk Modeling Analyst) - SSA8 (Re-advertised)

Job Description

The Programme Policy Officer (Disaster Risk Modeling Analyst) will be responsible for strengthening MINEMA’s system's performance for the developed advanced early warning system that predicts and mitigates the impact of natural disasters such as landslides and storms.

Duties and Responsibilities

Data Collection, Processing and Analysis

• Coordinate extensive field data collection across various regions for ground truth verification of the models’ predictions. Coordinate with regional offices to streamline data gathering efforts.
• Analyzing historical data, geological surveys, meteorological data, and other relevant information to understand the frequency, intensity, and distribution of different hazards.
• Combine, overlay and display mathematical models generated by the system and process the risk quantifications,
• Analyzes data from vulnerability of communities, infrastructure, and ecosystems to various hazards for understanding of their susceptibility to damage and disruption

Data Analysis, Integration and Management

• Ensure seamless integration of data from stakeholder APIs. Regularly assess and troubleshoot data flow processes.
• Analyzes hazard risk mapping and quantifying the exposure of assets, such as buildings, roads, and critical facilities, to different types of hazards.

Model Calibration, Thresholds and Exposure Analyses

• Conduct calibrations of disaster prediction models and provide risk probabilities and quantifications, and generate early warning messages,
• Enhance the system calibration and ensure risk warning messages are accurate
• Analyze model thresholds and outputs and develop suggestions for calibration parameters,
• Organize calibration review meeting with appropriate modelling experts to ensure the improvement of the models’ predictive accuracy.

Dashboard Development

• Design and implement informative dashboards for strategic decision-making. Continuously update dashboard features to reflect real-time data and insights.
• Knowledge and skills aligned with combining hazard, vulnerability, and exposure information to estimate the potential impact of disasters including potential casualties, economic losses, and social disruption,
• Update the dashboard information and explain system functionalities

Model Enhancement

• Innovate and apply improvements to existing disaster models.
• Stay abreast of technological advancements and integrate best practices into model development processes.
• Collaborate and coordinate various modeling experts to improve or upgrade existing models.
• Investigates and assesses potential risk factors arising through different data sets and data analysis.

Dissemination and Communication of Warning Messages

• Generate system messages and analyze the risk probabilities
• Oversee the Early warning generation and dissemination
• Model risk based on different datasets generated by the system
• Design and update the structure through which warning messages can be disseminated and communicated
• Collect system information feedback from the emergency responders and selected local community levels and hazard risk monitoring
• Coach, mentor and provide ToT trainings for EWS functionalities to the department staff and other key stakeholders
• Maintain up to date risk exposure information and processing risk control and propose mitigation measures to the management team
• Performs other related duties as assigned or requested

Required Academic Qualifications and Expertise

• A master’s degree in a relevant field in mathematical modeling, engineering physics, natural sciences including Geology and meteorology
• 3yrs of extensive GIS skills and demonstrated work experience in data/numerical modeling
• Experience in modeling for disaster risk management, meteorology, or environmental sciences will be highly valued

Required Skills Experience

• Advanced data analysis skills with the ability to interpret complex datasets and extract actionable insights.
• Experience with predictive models is an added advantage.
• Experience with Geographic Information Systems (GIS) for spatial data analysis and hazard risk mapping
• Experience with geospatial technology including but not limited to ArcGIS, raster analysis or holding a GIS specialized Certification is highly advantageous
• Experience with ArcGIS products is of advantage,
• Solid Python coding skills for model development, data analysis, and automation of processes.
• Model thresholds, system analysis and data automation

Competencies & Abilities Required

• Leadership and management skills;
• Planning and organizational skills;
• Communication skills;
• Strong IT skills, particularly in Financial software(SMART IFMIS);
• Knowledge of human resources concepts, practices, policies, and procedures;
• Knowledge of organizational structure, workflow, and operating procedures;
• Knowledge in Monitoring & System Evaluation;
• Time management Skills;
• Interviewing Skills;
• Judgment & Decision making skills;
• Complex Problem solving;
• Fluent in English, Kinyarwanda, and/ or French; knowledge of all is an advantage

How to Apply

All applications must be submitted exclusively through our online recruiting system. We do not consider CVs or applications sent by email, LinkedIn, or any other channel.

If you experience technical issues while submitting your application, you may contact us at global.hrerecruitment@wfp.org for technical issues with an application -only unsolicited applications or documents sent to this inbox will not receive a reply.