Agro-Climate Risk Modelling Analyst
4 weeks ago
About Us
Kshema General Insurance Limited (Kshema) was established in 2018 and is India's only Digital Agri Insurance Company catering to farmers/cultivators in the Agriculture Sectors. Kshema enables cultivators with resilience from financial distress due to extreme climate events and perils through localised insurance products. Kshema is leveraging Technology to provide cutting edge insurance solutions to farmers.
Kshema has a pan India presence with more than 500+ employees on roles along with 500+ employees as contractors.
Job Summary: We are seeking a skilled Agro-Climate Risk Modeler to join our team. The successful candidate will be responsible for developing and implementing models to assess and mitigate climate-related risks in agriculture. This role involves data analysis, model development, and collaboration with various stakeholders to support sustainable agricultural practices.
Responsibilities:
- Data Collection and Analysis: Gather and analyze climate data, agricultural trends, and environmental factors to assess risks and impacts on agricultural production.
- Model Development: Develop and refine models to predict climate-related risks and their potential effects on agriculture.
- Risk Assessment: Conduct risk assessments to identify vulnerabilities in agricultural systems and propose mitigation strategies.
- Reporting and Documentation: Prepare detailed reports and documentation on findings, methodologies, and recommendations for stakeholders.
- Scenario Analysis: Perform scenario analysis to evaluate the potential impacts of different climate change scenarios on agricultural productivity.
- Collaboration: Work with interdisciplinary teams to integrate climate risk data into broader agricultural planning.
Requirements
- Must have the below
- · Minimum 3-5years of experience in Agro-Climate Risk Modeling analysis.
- · Master’s degree (M.Sc./M. Tech) from an accredited College or University in Agricultural meteorology/Meteorology/Climatology or related field.
- · Experience in handling agroclimatic data using programming languages like Python, R.
- · Should have experience with Geo database to vector and raster data (ArcGIS, QGIS, Python).
- · Good communication skills, self-learning capabilities, must be a team player and self-motivated.
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