faire.ai
Enerel Jargalsaikhan has a diverse work experience spanning various roles and industries. Enerel started their career as a Delegate at both Model United Nations -- Binghamton University and National Model United Nations in 2013. In 2015, they worked as a Student Consultant at Edu Italy. Enerel then transitioned into the fashion industry, working as a Sales Team member at Max Mara Fashion Group in 2016, Alexander McQueen in 2017, and Sunrise S.R.L in 2018. From 2019 to 2020, they worked as part of the Sales Team at Tommy Hilfiger. Following that, they worked as a Digital Monitoring Agent at hlpy from 2021 to 2022. Currently, they hold the position of Customer Operations Specialist at faire.ai starting in 2022.
Enerel Jargalsaikhan's education history begins with their high school education at Sod-Erdem High School from 1999 to 2009, where they studied Foreign Language. Enerel then pursued further language studies at Hebei University from 2011 to 2012, focusing on Italian language.
In 2012, Enerel enrolled at Università degli Studi di Firenze and earned a Bachelor's degree in Political Science and Government, which they completed in 2016. Following this, they continued their education at Università degli Studi di Milano-Bicocca, where they pursued a Master's degree in Entrepreneurship/Entrepreneurial Studies starting in 2018. The duration of their Master's degree program is not specified.
More recently, in 2020, Enerel attended Job Farm Academy- Recruit s.r.l and completed an Executive Master's degree in Corporate Social Responsibility (CSR). These various academic pursuits highlight Enerel's diverse education history in the fields of language, political science, entrepreneurship, and corporate social responsibility.
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faire.ai
faire.ai is a data centric fintech company that provides B2B2C digital solutions to transform access to consumer credit.We built an advanced Platform to analyse customers’ financial behaviour, leveraging Open Banking.faire.ai empowers clients and partners with digital products that simplify processes.We employ Machine Learning to deliver humancentred solutions.We aim to improve customers’ lives and simplify access to credit by innovating traditional paradigms.