SmartPay

Overview of job

- Identify valuable data sources and automate collection processes
- Undertake to preprocess of structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Present information using data visualization techniques
- Manage and improve reporting system.
- Collaborate product development teams to evolve key KPIs (especially in fraud domain) as well as provide new insights
- Collaborate machine learning team to define business model (especially in fraud domain)

WHY YOU JOIN US:

• Working in the fast-moving international Fin-Tech environment.
• Competitive salary with high-tech supports.
• Bonus salary and company activities for each quarter.
• Personal Health Care Package from BaoViet Insurance.
• Working in new building E- Town Tower, 11 Doan Van Bo, Dist.4, HCMC.

As a member of Software Development team, you will be one of our talent crews, be side by side with others more than 25 professional Software Engineers, Automation Testers and Data Scientist having strong experience in financial solutions, online payment to transform and achieve unexpected achievements in the endless innovation of this Industry 4.0 nowadays. You are good at Java, interested in Magento platform and creating Automation Testing tools, or just excellent in data mining/analyzing - don't hesitate to find more opportunities at SmartPay since NOW.

- Bachelor’s Degree in computer science, statistic, math major
- A better if have a Master Degree in computer science, statistic, math major

- Proven experience as a Data Scientist or Data Analyst
- Experience in data mining
- Understanding of machine-learning and operations research
- Experience of machine learning framework (Tensorflow, Pytorch, OpenCV)
- Experience of Excel, SQL and Python
- Experience using business intelligence tools (e.g. Tableau, Power-BI, QlikView) and data frameworks (e.g. Hadoop)
- Analytical mind and business acumen
- Strong math skills (e.g. statistics, algebra)
- Excellent communication and presentation skills
- Knowledge/ Experience of Risk domain: applied the AI/ML or rules-based techniques for suspicious event detection