Programme Policy Officer (Disaster Risk Modeling Analyst) - SSA8

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

• 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

• 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 

• 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