- Country: New Delhi, India
- No of vacancies: N/A
- Salary: N/A
- Organization: UNDP
- Gender: Both
- Deadline: 2024-01-12
Duties and Responsibilities
Direct Reporting To: Specialist Non-Life Actuary (NPSA 10) – Direct Supervisor is responsible and accountable for supporting in day-to-day functions, provide work instructions, leave approval, conduct PMDs etc.
Overall Reporting To: National Programme Director (NPSA 11) – Overall Supervisor is usually next in line to Direct Supervisor who manages overall team / unit and provide functional support as and when required and has overall responsibility to manage quality assurance.
Reportees to this position:
- Data Analysis& MIS Analyst (NPSA 9)
- Data Analyst Insurance Banking (NPSA 8)
- MIS Support Assistant (NPSA 3)
Duties:
- Work closely on the National Crop Insurance Portal and Data Management processes to maintain a National Database on Insurance underwriting and Claims for PMFBY and RWBCIS.
- Assess quality of data available and propose solutions to enhancements its quality thereof. Design and implement analytical platform to perform various data analysis projects by stakeholders.
- Perform risk-based and crop modelling to assist States in formulating optimal Scheme notification including Pricing, Clustering and other Risk Management aspects.
- Assist implementing agencies/ State TSUs in developing their own analytical practice to improve scheme design and operational delivery.
- Review current policies and operational processes to identify areas of improvement and build strategies towards improving service delivery by various stakeholders and ensuring maximum benefit to Scheme beneficiaries.
- Design and implement Proof of Concept (POC) for various strategic initiatives proposed.
- Identify project delivery issues and ensure effective coordination of project resources.
- Provide timely inputs for the timely submission of progress reports, as required by UNDP and the Ministry of Agriculture.
- Perform any other task consistent with the level of the post and/or assigned by the National Programme Director – TSU.
Competencies
- Achieve Results LEVEL 2: Scale up solutions and simplifies processes, balances speed and accuracy in doing work.
- Think Innovatively LEVEL 2: Offer new ideas/open to new approaches, demonstrate systemic/integrated thinking.
- Learn Continuously LEVEL 2: Go outside comfort zone, learn from others and support their learning.
- Adapt with Agility LEVEL 2: Adapt processes/approaches to new situations, involve others in change process.
- Act with Determination LEVEL 2: Able to persevere and deal with multiple sources of pressure simultaneously.
- Engage and Partner LEVEL 2: Is facilitator/integrator, bring people together, build/maintain coalitions/partnerships.
- Enable Diversity and Inclusion LEVEL 2: Facilitate conversations to bridge differences, considers in decision making.
Cross-Functional & Technical competencies:
Digital & Innovation
- Data analysis: Ability to extract, analyze 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 robotisation 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 using ETL (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.
- Behavioral insights: Knowing when it is appropriate to use behavioral insights, having theoretical knowledge and basic understanding of principles of human behavior’s; being aware of both the benefits and limitations of Behavioral Insights and adhere to ethical standards and guides when using them. Being able to define specific behavioral goals (what to change), explore and understand barriers and contextual factors to desired behavior’s, use principles from behavioral 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.
- Data literacy: Understand the potential as well as the limitations of using data driven innovation. Ability to use a mix of data sources (quantitative, qualitative or real-time techniques) to develop understanding, identify patterns to inform decision making or identify opportunities for further exploration.
- Tech literacy: Ability to apply new digital tools or adapting their original use to create new insights, fresh perspectives or develop solutions. Understand the potential as well as the limitations of certain technological developments; being able to identify how technology can add value when it’s used as a “”means to an end””.
Required Skills and Experience
Education:
- Advanced university degree (Master’s degree or equivalent) in Statistics, Economics, Business Analytics, Business Administration, or equivalent areas, or
- A first-level university degree (Bachelor’s degree) in the areas mentioned above in combination with additional 2 years of qualifying experience will be given due consideration in lieu of Master’s degree.
Experience:
- Minimum 4 years’ (with Bachelor’ Degree) or 2 years (with Master’ Degree) of demonstrable experience in analyzing large datasets, specifically related to non-life insurance sector.
- Relevant experience at the national level working with Governments and private entities in the insurance sector.
- Additional Insurance qualification from institutes such as Insurance Institute of India / National Insurance Academy, or equivalent, shall be an advantage.
- Additional years of demonstrable experience in analyzing large datasets, specifically related to non-life insurance sector.
- Two to four years of experience in the field of crop insurance.
- Relevant experience of working at the national level with Government and/or Private Entities, in the insurance and/or reinsurance sector.
- Progressively responsible roles in providing strategic inputs to senior management for new projects to achieve organizational objectives.
- Proven experience in working with and managing projects with multiple stakeholders including Central and/or State Government / International Agencies
- Strong integrity and ethical standards.
- Promotes the Vision, Mission, and Strategic Goals of the organization.
- 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.
- 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, will be an advantage.
- Demonstrates substantive and technical knowledge to meet responsibilities and requirements of the post with excellence.
- Knowledge and capability to handle strategic planning, results- based management, and reporting.
- Good communication skills.
- Ability to carry out research and communicate strategic advice that guides decisions on strategic programme directions.
- Ability to tailor and present information to diverse audiences using a variety of communication delivery methods (e.g., written, electronic, oral, interpersonal), including documentation.
- Good interpersonal skills and ability to establish and maintain effective partnerships and working relations with people in a multi-cultural, multi-ethnic environment with sensitivity and respect for diversity.
- Demonstrated skills in connecting with a wide range of stakeholders viz. insurance agencies, farmer organizations, state agencies, etc.
- Ability to lead 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.
- Ability to consistently deliver results (both individual and as part of a team), even under difficult circumstances.
- Demonstrates excellent work/project planning skills.
- Openness to change and the ability to manage complex, ever- changing environments.
- Candidates with prior experience in managing team of 4-5 persons, will be preferred.
- Candidates with prior experience of providing technical advisory services in the insurance sector, will be preferred.
Required Languages:
- Excellent oral and writing skills in English and Hindi
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