Job Description

Ensure Risk-Based Modelling and Premium Cost Determination

• Perform risk-based modelling and determine the premium cost and sustainable subsidy structures.
• Undertake crop modelling and prioritization for the crops to be insured and assist the crop insurance product specialists in selecting farming areas for piloting.

Ensure Data Collection and Analysis

• Collate and analyse data related to cultivated areas, production and yield of key crops, types of soils, percentages of agriculture under irrigation and rainfed, vulnerability of crops toweather and climate risks, farming system and types, and income levels of farmers.
• Develop a database on crop insurance Underwriting and claims, Crop Premium Subsidy Management, Digitized Land Record database, Notified Crop, Premium rates and coverage; CCE yield dataset etc. that can process and generate reports to monitor insurance take-up and supervise insurance operation.
• Assist implementing agencies/State TSUs in developing their own database system to improve financial monitoring and reporting capacity.
• Database Development and Maintenance
• Provide maintenance services and troubleshoot when problems occurred.

Ensure Communication and Support

• Create effective, visually engaging presentations within constraints of project deadlines.
• Perform any other tasks consistent with the level of the post and/ or assigned by the Remote Sensing & Geo-Spatial Specialist and Remote Sensing Tech.

The incumbent performs other duties within their functional profile as deemed necessary for the efficient functioning of the Office and the Organization.CompetenciesCore competencies:

• Achieve Results: Level 1: Plans and monitors own work, pays attention to details, delivers quality work by deadline
• Think Innovatively: Level 1: Open to creative ideas/known risks, is pragmatic problem solver, makes improvements
• Learn Continuously: Level 1: Open minded and curious, shares knowledge, learns from mistakes, asks for feedback
• Adapt with Agility: Level 1: Adapts to change, constructively handles ambiguity/uncertainty, is flexible
• Act with Determination: Level 1: Shows drive and motivation, able to deliver calmly in face of adversity, confident
• Engage and Partner: Level 1: Demonstrates compassion/understanding towards others, forms positive relationships
• Enable Diversity and Inclusion: Level 1: Appreciate/respect differences, aware of unconscious bias, confront discrimination

Cross-Functional & Technical competencies:Digital & Innovation

• Data analysis: Ability to extract, analyse and visualize data (including Real- Time Data) to form meaningful insights and aid effective decision making.
• Data privacy and digital ethics: Knowledge of ethical usage of digital technology (e.g. AI, robotics, automation) and data. Ability to assess ethical implications when using, combining or sharing data, when building or implementing AI systems, and when advising on robotization and automation etc. Ability to design privacy protocols to ensure data is protected and used for legitimate purposes without unnecessary privacy risks.
• Data Engineering: Ability in programming languages such as SQL, Python, and R, be adept at finding warehousing solutions, and usingETL (Extract, Transfer, Load) tools, and understanding basic machine learning and algorithms.
• Data governance: Knowledge of data science, skills to develop data management tools, organize and maintain databases and operate data visualization technologies.
• Behavioural insights: Knowing when it is appropriate to use behavioural insights, having theoretical knowledge and basic understanding of principles of human behaviour; being aware of both the benefits and limitations of Behavioural Insights and adhere to ethical standards and guides when using them; Being able to define specific behavioural goals (what to change), explore and understand barriers and contextual factors to desired behaviours, use principles from behavioural science to generate ideas for nudges and interventions,use experimental methods to improve ideas (prototyping) or evaluate impact (trials). Use these results to develop a scaling strategy for interventions that work or inform policy design.

Business management

• Digital awareness and literacy: Ability and inclination to rapidly adopt new technologies, either through skilfully grasping their usage or through understanding their impact and empowering others to use them as needed.
• Risk Management: Ability to identify and organize action around mitigating and proactively managing risks.

Required Skills and ExperienceEducation:

• Secondary education is required.
• A University degree (bachelor\'s degree) in Applied Statistics/ Applied Economics/Agriculture Economics/Agriculture Statistics/ Data Sciences / Business Analytics/ Business Administration, or equivalent will be given due consideration, but it is not a requirement.

Experience:

• Minimum of 7 years (with High school diploma) or 4 years (with bachelor\'s degree) of relevant demonstrable experience atthe national or international level in analysing large datasets, specifically related to non-life insurance sector is required.
• At least 4 years of experience and in-depth knowledge of Agriculture Insurance, product design, indemnity-based insurance, index-based insurance products, national policies and existing schemes, regulatory laws related to crop insurance, related concepts, policies, and practices is required.
• Demonstrated Experience in in preparing presentation and creative visualization is required.
• Proven ability to tailor and present information to diverse audiences using a variety of communication delivery methods (e.g., written, electronic, oral, interpersonal), including documentation is required.
• Experience in leading consultative meetings and provide training at national and state level with partners and senior stakeholders to identify priorities and manage the timely delivery of project activities is required.
• At least 2 years of demonstrable experience in relevant role with government projects
• Candidates with prior experience in managing team of 4-5 persons.
• At least 2 years of prior experience of providing technical advisory services in the insurance sector.
• Relevant experience at the national level working with Governments and private entities in the insurance sector and/or reinsurance sector.
• Progressively responsible roles in providing strategic inputs to senior management for new projects to achieveorganizational objectives.
• Proven experience in working with and managing projects with multiple stakeholders including Central and/or State Government / national/ international/ public private organizations.
• Broad based knowledge across cross cutting thematic areas such risk management, current rural insurance and finance schemes, outreach to insurers and implementing agencies, procurement procedures, environmental and social safeguards.
• Knowledge of legislative, legal and regulation structure in place with respect to crop insurance in India.
• Demonstrates substantive and technical knowledge to meet responsibilities and requirements of the post with excellence.
• Demonstrated experience and capability to handle strategic planning, results-based management, and reporting.

Required languages:

• Fluency in English and Hindi is required.

DisclaimerUnder US immigration law, acceptance of a staff position with UNDP, an international organization, may have significant implications for US Permanent Residents. UNDP advises applicants for all professional level posts that they must relinquish their US Permanent Resident status and accept a G-4 visa, or have submitted a valid application for US citizenship prior to commencement of employment.UNDP is not in a position to provide advice or assistance on applying for US citizenship and therefore applicants are advised to seek the advice of competent immigration lawyers regarding any applications.

United Nations Development Programme