Data And Analytics Division

Key Accountabilities (1)
Data Solutioning
- Evaluate effectiveness of proposed models and track business performance against data analysis
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, customer journeys, graph modes, 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
Data Insighting
with internal regulatory requirements.
Key Accountabilities (2)
- 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
Key Accountabilities (3)
applications to improve work efficiency.
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.
Talent Development
- Identify and encourage areas for growth and improvement within the tribe.
- Mentor and coach Data Analysts into fully competent Data Scientists.

Qualifications
- Bachelor&039;s or Master’s degree in Statistics, Mathematics, Quantitative Analysis, Computer Science,
Software Engineering or Information Technology
Work Experience
- 7+ 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
- Deep experience in querying databases and using programming languages (e.g. C, C++, R,
- English proficiency requirements are pursuant to Techcombank&039;s policy
Python, Scala, SQL, Java, Tableau, R)
- Extensive experience in building data and analytics solutions, data mining, statistical analysis and
data visualization
- Experience in providing fact- based insights to help senior management and other stakeholders
- Experience in application of machine learning and AI to questions related to the financial markets
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

- Additional healthcare insurance
- Performance bonus
- Participate in professional training course
- Competitive remuneration package
- Opportunity of promotion
- Necessary tools/equipment for the job are provided

Cập nhật gần nhất lúc: 2025-12-15 07:10:02