Head of Digital Banking

Job summary

The achievements of the previous two development phases (2012-2017 and 2018-2022) have created a comprehensive foundation and impetus for the Bank to confidently continue the success in the new development strategy, thereby continuing to contribute to promoting the sustainable development and prosperity of the country and the community; continue to increase the value brought to customers, shareholders and investors.

Strategic vision and solid foundation From 5th place, according to the forecast of the International Monetary Fund (IMF) released in June 2022, the

Job Responsibilities

·      Managing and directing a center of machine learning engineers and data scientists in applying data science and engineering techniques to implement advanced analytical solutions as well as packaging data analytic models for assessing customers’ behaviors and enhancing operational efficiency.

·      Work directly with CDO to give direction on the application of data science and machine learning across the bank’s operations.

·      Proactively execute and lead data science and machine learning projects to drive business outcomes.

·      Lead and develop front-end user interfaces, interactive visualizations and dashboards to deliver insights for consumers.

·      Leverage on premise and cloud based big data platforms to refactor and optimize code for production.

·      Lead and develop advanced analytics and machine learning models to help business units in various problems including customer churn, cross-selling products to customers

·      Lead and automate data and machine learning engineering processes

Mentor, coach & train team members

Experience requirements

·      Min 10 years of solid experience in data science, machine learning or big data engineering.

·      Min 6 years of experience in a management position

·      Experience in building a new team from scratch is a plus

·      Experience in interpreting data and translate them into actionable insights, not just data extraction and reporting

·      Understanding of and experience using analytical concept and statistical techniques, hypothesis development, analyzing complex data set and drawing conclusions

·      Knowledge of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques

·     Experience in working with SQL and Excel

Proficiency in big data technologies, distributed computing, software and visualization development

·     SQL Server và Excel/ Advanced in SQL Server & Excel

·     Advanced in using R or Python for data analysis

·      Advanced knowledge in big data and machine learning tech stack including Hadoop and Spark.

·     Presentation skills

·      Team working skills

·      Working under pressure

·      Adapt well in changing environment & self-learning

·      Problem solving skills

Managing skills & leadership

·     Data mining related fields area

·     Predictive modelling related jobs

Big data engineering and software development

   Required Competencies

·      Problem solving attitudes

·      Self-learning attitudes

Leaderships & managing skills

Education requirements

Bachelor degree in Mathematics, Statistics, Engineering, Computer Science or other Quantitative discipline

Contact Person

•   Hien Tang
•  Adecco