Power BI Hadoop
Мы рады сообщить об открытии вакансии в нашей динамичной финтех компании, и приглашаем вас стать частью нашей команды на должность Data Scientist. Если у вас есть подтвержденный опыт работы в качестве дата-сайентиста или дата-аналитика, и вы стремитесь к новым вызовам в быстро развивающемся мире финансовых технологий, это предложение для вас!
Company Finstar Financial Group
Finstar Financial Group is an international group of companies with around US$2bn of assets under management (AUM) and offices in Cyprus, Serbia, and the UAE. The company is headed by Oleg Boyko and has a diversified investment footprint in more than 30 countries. Finstar’s investment professionals target opportunities in Europe, Asia, Latin America, and the CIS. The group is strongly focused on the fintech sector and has been highly successful historically in banking and financial services, IT, real estate, FMCG retail, media, and entertainment sectors. Finstar has a proven track record of over 25 years of operational excellence in startups, turnarounds, joint ventures, and mergers and acquisitions.
Responsibilities:
Identifying relevant data sources for business needs. Collecting structured and unstructured data. Sourcing missing data. Organising data in to usable formats. Building predictive models. Building machine learning algorithms. Enhancing the data collection process. Processing, cleansing & verifying of data. Analysing data for trends and patterns and to find answers to specific questions. Setting up data infrastructure. Develop, implement and maintain databases. Assess quality of data and remove or clean data. Generating information and insights from data sets and identifying trends and patterns. Preparing reports for executive and project teams. Create visualisations of data.
Requirements:
Proven experience as a Data Scientist or Data Analyst. Experience in developing scoring models and launching them in production. Experience in data mining. Understanding of machine-learning and operations research. Experience using business intelligence tools (e.g. Power BI) and data frameworks (e.g. Hadoop). Analytical mind and business acumen. Strong math skills (e.g. statistics, algebra). Problem-solving aptitude. Excellent communication and presentation skills. BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred. Russian and English.
We offer:
Salary in foreign currency with payment in a convenient format. Quarterly bonus. Work in a friendly team, without bureaucracy. Dynamic and rapidly developing fintech business. Remote work.
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