RESPONSIBILITIES:
Responsible for developing customer segmentation strategies, analyzing user behavior, and optimizing marketing and product performance through data-driven segmentation models and customer insights to drive growth, optimize costs, and enhance Customer Lifetime Value (CLV).
- Develop and manage customer segmentation models based on behavior, risk, CLV, and engagement levels, ensuring alignment with marketing, risk, product, and customer lifecycle strategies.
- Support Marketing and Product strategies by advising on target segments for acquisition, reactivation, and loyalty campaigns; providing insights to develop suitable credit products for each customer group; and collaborating with the Digital team to optimize content, creatives, and customer journeys by segment.
- Build and optimize models using customer clustering, cohort analysis, predictive scoring, look-alike modeling, and response/propensity modeling, while monitoring model performance and recommending improvements.
- Develop customer testimonial activities to gain customer insights; conduct A/B testing on creative performance and positioning; and test strategies to optimize marketing performance and achieve business goals and KPIs.
- Explore new technologies and keep the company at the forefront of customer marketing developments.
- Undertake other tasks as assigned by Managers.
REQUIREMENTS
- Bachelor's degree in Data Analytics, Statistics, Economics, Marketing, Fintech, or a related field.
- Minimum 3 years of experience in customer segmentation and analytics.
- Language requirements: English (fluent).
- Strong understanding of customer segmentation, Customer Lifetime Value (CLV), and basic machine learning concepts.
- Hands-on experience with CRM platforms, CDP, marketing automation tools, and BI tools.
