Deadline- February 28, 2013
International Initiative for Impact Evaluation (3ie) is accepting applications for impact evaluations of FINO PayTech in India. Fluency in English is required in this program. The aim of this program is to improve the lives of poor people in low- and middle-income countries by providing and summarizing evidence of which development interventions work, when, why, and for how much. 3ie grant programs finance high-quality impact evaluations of policies and programs in these countries.
3ie is registered as a non-governmental organization in the United States of America. In India, 3ie operates as a program of the Global Development Network (GDN) in New Delhi, India.
FINO PayTech is a leading player in the domain of inclusive financial service and has been working actively, with various states agencies as well as commercial banks, to execute electronic benefits transfer project across India. This consultancy is to assist undertake impact evaluation to assess the effects of the FINO intervention in the state of Chhattisgarh (India).
four principal areas of work-
- provide on-the-ground technical and logistical coordination
- oversight for the impact evaluation, focusing primarily on the baseline survey and thereafter on subsequent follow-up surveys
- analysis of data, reports and publication
- contribute to capacity building and awareness for evidence based policy making within the FINO PayTech team
Eligibility & Criteria-
- Qualified candidates will be fluent in English, have training in econometrics (at the PhD and/or Master’s level),
- possess strong organizational and analytical skills, and
- have experience with impact evaluation, survey instrument design, field supervision of household data collection and analysis. They should have the ability to work under time pressure and meet strict deadlines.
- Relevant experience and knowledge of India, familiarity with mobile technology use in development interventions, finance sector and household data collection and an interest in gender and minority issues are also preferred.
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