Data Analyst-Risk

CoinDCX is India's largest & safest crypto exchange, focusing on making crypto accessible since its establishment in 2018. With a commitment to providing the best of the crypto space through simple and secure solutions, CoinDCX has become Indias first Crypto Unicorn, insured by BitGo and ISO Certified. As the platform attracts more users, the data collected becomes richer with insights, requiring constant modeling and monitoring to enhance user experience. Your role as an Analyst at CoinDCX is crucial in addressing the gap to fulfill the needs, wants, and desires of our patrons. • *Key Responsibilities:** - Provide best-in-class analytical support - Build and deploy practical analytical solutions like dashboards, models, and reports - Offer insight and recommendations to guide the development of risk management strategies, processes, and systems - Assist in collating data to support risk projects, ensuring timely and accurate output - Collaborate cross-functionally, utilizing internal and external data sources for management reporting and analytics projects - Extend or modify analysis based on data observations - Present findings to management and drive stakeholder discussions through rigorous analysis and logical frameworks • *Qualifications Required:** - B.E./B. Tech or MS in machine learning, computer science, math, statistics, or equivalent work experience - 2-5 years of work experience with Leading Payment Company/Bank/Fintech/Virtual Currency Exchange - Practical experience in owning analytics projects and using analytics to solve business problems, preferably in Financial Services - Understanding of or interest in cryptocurrencies, decentralized finance, and the business of a Virtual Currency Exchange - Proficiency in data analysis languages such as SQL, R, Python, MS Office - Proficiency in tools such as Power BI, Tableau would be a bonus - Strong written and verbal communication skills for driving data-driven discussions with attention to detail (Note: The additional details of the company were not explicitly mentioned in the provided job description.) CoinDCX is India's largest & safest crypto exchange, focusing on making crypto accessible since its establishment in 2018. With a commitment to providing the best of the crypto space through simple and secure solutions, CoinDCX has become Indias first Crypto Unicorn, insured by BitGo and ISO Certified. As the platform attracts more users, the data collected becomes richer with insights, requiring constant modeling and monitoring to enhance user experience. Your role as an Analyst at CoinDCX is crucial in addressing the gap to fulfill the needs, wants, and desires of our patrons. • *Key Responsibilities:** - Provide best-in-class analytical support - Build and deploy practical analytical solutions like dashboards, models, and reports - Offer insight and recommendations to guide the development of risk management strategies, processes, and systems - Assist in collating data to support risk projects, ensuring timely and accurate output - Collaborate cross-functionally, utilizing internal and external data sources for management reporting and analytics projects - Extend or modify analysis based on data observations - Present findings to management and drive stakeholder discussions through rigorous analysis and logical frameworks • *Qualifications Required:** - B.E./B. Tech or MS in machine learning, computer science, math, statistics, or equivalent work experience - 2-5 years of work experience with Leading Payment Company/Bank/Fintech/Virtual Currency Exchange - Practical experience in owning analytics projects and using analytics to solve business problems, preferably in Financial Services - Understanding of or interest in cryptocurrencies, decentralized finance, and the business of a Virtual Currency Exchange - Proficiency in data analysis languages such as SQL, R, Python, MS Office - Proficiency in tools such as Power BI, Tableau would be a bonus - Strong written and verbal communication skills for driving data-driven discussions with attention to detail (Note: The additional details of the company were not explicitly mentioned in the provided job description.)