Our vision is to transform VPBank into a data-driven organization, propelling it toward becoming one of the top three banks in Vietnam and among the top 100 in Asia. The EDA Division, supported by a dynamic team of passionate and experienced professionals, is dedicated to unlocking the full potential of data to enhance customer experiences, accelerate business growth, improve operational efficiency, and mitigate risks. We aim to achieve this by building a next-generation enterprise data platform, advancing data governance, and promoting AI and machine learning.
The purpose of this position is to collaborate with Business Units and other departments within the EDA to analyze complex datasets, uncover customer behavior insights, and deliver actionable recommendations.
Key responsibilities:
Support the management of the Data Science department (with the potential to lead a small team) and guide the application of advanced analytics and data science techniques to uncover customer behaviors and solve real business problems.
Work directly with the head of Data Science department to give direction for advanced analytics, predictive modeling in the bank’s operations
Proactively propose, execute, and lead analytics projects to support business units
Apply data science and analytics techniques to get insights so as to help business to solve real business problems
Extract insights from customer behaviors using a variety of data mining techniques
Develop machine learning, deep learning models to assist business units in addressing various challenges, including customer churn, customer journey, recommendation engines, cross-selling products to existing customers, etc.
Coach & train team members
Automate analytics process
Job Requirement
Who We're Looking For:
A Bachelor’s degree in Mathematics, Statistics, Engineering, Computer Science, or another quantitative discipline, or a related field
A minimum of 4-6 years of solid experience in advanced analytics and data science
Strong understanding and practical experience with analytical concepts and statistical techniques, including hypothesis development, complex data analysis, and drawing actionable conclusions
Knowledge of statistical and predictive modeling concepts, as well as familiarity with machine learning approaches, clustering, and classification techniques
Experience with cloud technologies and MLOps
Expertise in data mining and predictive modeling
Experience in business intelligence, including the ability to build analyses and reports using BI tools and data management practices
A problem-solving mindset with a commitment to self-directed learning
Leadership and management skills are a plus
What We Offer:
An attractive compensation package, including a competitive salary and bonuses based on performance (15-18 month package).
Holiday and New Year bonuses in accordance with banking policies.
Access to preferential loan options based on the bank’s policies.
Generous leave policy based on job rank, with 12-18 paid leave days per year.
Mandatory insurance in compliance with labor laws, along with VPBank care insurance tailored to employee rank and tenure.
Opportunities to participate in training courses aligned with the training framework for each position.
Working hours: Monday to Friday, with Saturday mornings off (two Saturday mornings per month).
A dynamic and friendly work environment offering numerous opportunities for training, learning, and professional development, along with engaging cultural activities such as sports events, talent showcases, and team-building activities.
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