Role Description
**About The Team**
The Shopee E-commerce Anti-fraud Algorithm Team is dedicated to enhancing user experience by preventing risks such as low-quality products and fraudulent transactions across search, recommendation, and advertisement scenarios. We are committed to building an industry-leading risk control system that leverages cutting-edge technologies, large-scale deep learning, and emerging AI models.
If you are passionate about e-commerce and risk control, we welcome you to join us in developing advanced anti-fraud algorithms that protect our users and sellers while driving sustainable business growth.
**Job Description**
As an Anti-Fraud Algorithm Engineer Intern, you will work closely with our risk control and data science teams to support the design and enhancement of anti-fraud systems that protect users and merchants.
**Responsibilities**
* Algorithm Development: Assist in developing and implementing algorithms to detect fraudulent or abnormal transactions, ensuring platform safety and integrity.
* Model Optimization: Support the exploration and tuning of risk control models to improve accuracy, recall, and scalability.
* Data Analysis: Conduct exploratory data analysis on transaction patterns, user behavior, and merchant activities using anomaly detection and machine learning techniques.
* Risk Monitoring: Help build and refine real-time monitoring tools to identify and respond to potential risks promptly.
* Innovation \& Learning: Stay current with the latest advancements in anomaly detection, reinforcement learning, and large-scale AI models, and explore opportunities to apply them in practical scenarios.
**What You’ll Gain**
* Hands-on experience in real-world anti-fraud systems and risk modeling.
* Exposure to large-scale data platforms and AI-driven solutions.
* Mentorship from experienced algorithm engineers and data scientists.
**Requirements**
* Currently pursuing a Bachelor’s or Master's Degree or higher in Computer Science, AI, Data Science, or related field.
* Strong programming skills; proficient in Python, C\+\+, or similar languages.
* Solid understanding of data structures, algorithms, and basic machine learning principles.
* Familiarity with at least one deep learning framework (e.g., TensorFlow, PyTorch, MXNet) is a plus.
* Passion for applying algorithms to solve real-world risk control problems in e-commerce.
* Detail-oriented, quick learner, and strong sense of ownership.
* Good teamwork and communication skills.