About Us
True Money is Southeast Asia's leading fintech company providing financial services for
the digital and unbanked consumers across 6 countries in Thailand, Cambodia, Myanmar, Vietnam, Philippines, and Indonesia.
Operated by Ascend Money and in partnership with Alipay, True Money provides
extensive e-wallet services and agent networks that enable millions of Southeast Asians
with access to innovative financial services, leading to better lives.
Responsibilities
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
- Develop company A/B testing framework and test model quality.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
Qualifications
- 5+ years of experience manipulating data sets and building statistical models.
- Master's degree or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools: Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
- Experience querying databases and using statistical computer languages: R, Python, SQL to manipulate data and draw insights from large data sets.
- Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
- Experience creating and using advanced ML algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
- Knowledge of a variety of ML techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
- Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
- Excellent written and verbal communication skills for coordinating across teams.
- Strong problem-solving skills with an emphasis on product development.
