Job Details

Credit Risk Data Scientist, Fintech

Channel VAS
Athens, Ohio, United States
Do you have what it takes to join Channel VAS, the global Fintech leader? We are the world's #1 in mobile micro-credits, thanks to our own proprietary technology, based on telco, digital and behavioral data. Our services are delivered through a state-of-the-art platform to over 50 telco partners and finance institutions in more than 42 countries, providing financial inclusion to over 750 million consumers.We are seeking sharp, talented individuals to join our team of highly skilled professionals and to be part of our success story as we continue to develop and deliver like no other Fintech company in the fields of Big Data, Analytics, Technology, Finance and Products, and to have an active role in the company's growth and expansion to new markets globally.In the new world that shapes up during and after the pandemic, we are committed to supporting underbanked people and turning challenges into opportunities. This is your chance to join this effort and become part of a team of more than 200 creative individuals, who believe in redefining the world of Fintech through mobile devices!Credit Risk Data Scientists are significant contributors of Channel VAS' data driven automated decision making, risk management and profits optimization. They have extensive experience with credit and profit scoring, the development and deployment of advanced algorithms, and the day-to-day risk management of large portfolio of loans. They have the capability (i) to perform advanced risk analytics, (ii) design and develop statistical and machine learning algorithms for credit issuance and risk management, and (iii) operationalize them in the daily risk management activities of large portfolios with the aim to optimize profits. Credit Risk Data Scientists are part of a large team of 10 people, working closely with Big Data Engineers and Analysts.What you will do Manage large portfolios of micro-loans with the use of advanced algorithms and analytics to optimize profits Develop and deploy advanced credit risk models and algorithms Design, develop and implement scorecards for nano- and micro-finance Analyze large data volumes to identify credit risk factors Develop strategies for credit risk management and revenue maximization Transfer knowledge on credit risk model development and management What you will bring BSc and MSc in Mathematical Sciences, Computer Science or Finance from an accredited institution. Minimum of 3 years' experience in a related role (e.g. credit risk analyst/manager and/or data scientist). Strong analytical skills, evidence of statistical/machine learning models and algorithms development. Hands-on experience at least in two of the following (with descending significance): Credit risk model development and deployment Credit risk management Risk analytics Profits Optimization Machine learning Ability to set-up, organize and monitor pilots for testing and comparing risk models Experience in and ability to gain risk insights analyzing large volumes of data. Passion for learning new technologies and eagerness to collaborate with other creative minds Strong desire for exploring, evaluating and understanding new technologies Ability to hit tight deadlines and work under pressure and strict attention to detail Excellent judgment, organizational and problem-solving skills Strong interpersonal and communication skills Optional requirements (will be considered a plus): PhD in Mathematical Sciences, Computer Science or Finance from an accredited institution. Hands-on experience on big data processing and analytics. Creative skills Programming skills Benefits Collaborative culture Challenging work environment Comprehensive private healthcare insurance Company phone and laptop

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