The job holder supervises the setup of ML projects together with business in order to generate pre-agreed solutions linked to KPIs and product enhancements using DS methods, processes and systems on unstructured, diverse Big Data sources.
The job holder is required to take initiative in experimenting various technologies and tools with vision of creating innovative data driven solutions for the business at the quickest pace possible and keep current with technical and industry developments.
Key accountabilities (1)
A. Data Solutioning
Evaluate effectiveness of proposed models and track business performance KPIs against data model.
Build cutting-edge algorithms and work with machine learning and deep learning tools to deliver advance analytics solutions across the firm including recommendation engines, customized data models, etc.
Drive application of machine learning and big data techniques across different journeys and squads.
Manage, execute, and review complex data science projects in an agile manner and in compliance with internal regulatory requirements.
B. Data Insighting
Lead the identification and interpretation of meaningful and actionable insights from large data and metadata sources together with business partners.
Review processes and tools designed to monitor and analyze model performance and prediction accuracy.
Proactively lead discussions in 3+ squads to identify questions and issues for data science
Collaborate with Data Engineers to build complex, technical algorithms in data analytics software applications to improve work efficiency.
Know at all times your data (size, average, distributions, outliers, CR, etc) and be able to estimate model output, impact and come up with sanity checks to detect bugs (discrepancies between expectations and results)
C. Projects Management
Manage project conflicts, challenges and dynamic business requirements to keep operations running at high performance.
Work with team leads to resolve people problems and project roadblocks, conduct post mortem and root cause analysis to help squads continuously improve their practices to ensure maximum productivity.
D. Talent Development
Key accountabilities (2)
Key accountabilities (3)
Key Relationships - Line Manager
Data Analytics Team Lead
Key Relationships - Subordinate
Key Relationships - Internal relationship
Teams within the Data and Analytics Division and relevant departments in the Bank
Key Relationships - External relationship
Partners providing professional services
Qualification and Experiences
Master’s degree (or higher) in Statistics, Mathematics, Quantitative Analysis, Computer Science, Software Engineering, Information Technology or other Numerical Disciplines
8 to 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
English proficiency requirements are pursuant to Techcombank's policy
Deep experience in querying databases and coding (e.g. Python, R, Spark, Scala, SQL, Java, C, C++)
Extensive experience in building data and analytics solutions and products, data mining and statistical analysis
Experience in application of machine learning and AI to questions related to the financial markets
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
Thông tin khác
Lương thưởng hấp dẫn
Được hưởng các chế độ bảo hiểm, nghỉ phép, … theo quy định của Luật lao động
Được làm việc trong môi trường chuyên nghiệp, năng động
Nơi làm việc
- Head Office,14th Floor, Techcombank Tower, 191 Ba Trieu Street, Hai Ba Trung District, Hanoi, Vietnam
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