Responsibilities:
- Lead the identification and interpretation of meaningful and actionable insights from large data and metadata sources.
- Review processes and tools designed to monitor and analyze model performance and data accuracy.
- Proactively lead discussions in 3+ squads to identify questions and issues for data analysis
- Collaborate with Data Engineers to build complex, technical algorithms in data analytics software applications to improve work efficienc
- Lead the identification and interpretation of meaningful and actionable insights from large data and metadata sources.
- Review processes and tools designed to monitor and analyze model performance and data accuracy.
- Proactively lead discussions in 3+ squads to identify questions and issues for data analysis
- Collaborate with Data Engineers to build complex, technical algorithms in data analytics software applications to improve work efficiency.
Requirements:
- Master’s or PhD degree in Statistics, Mathematics, Quantitative Analysis, Computer Science, Software Engineering, Information
- Technology or any other Numerical disciplines Work Experience
- 12+ years of relevant experience in areas of data analysis, machine learning, deep learning model development on large amount of data, implementing and deploying various statistical models, 4+ years of people management experience. - English proficiency requirements are pursuant to Techcombank's policy
- Deep experience in querying databases and using programming languages (e.g. Python, spark, TensorFlow, scala, sql, C, C++, Java)
- Extensive experience in building data and analytics solutions, data mining, statistical model building, predictive modeling
- Experience in application of machine learning and AI to questions related to tech and finance industry
- Experience in providing fact-based insights to help senior management and other stakeholders realize enterprise value at scale
- Deep experience in Agile Software Development and has mastery of Agile principles, practices and Scrum methodologies
- Experience working in Agile teams to lead successful digital transformation projects, involved in the end-to-end planning to implementation