Company: Moomoo
Company Website: https://apply.workable.com/moomoo/
Company Background:
Moomoo was created because we realized that the investment platforms available were either too complicated with no real support, or the tools and data needed for users to invest smarter were inaccessible. The investment world was filled with barriers and paywalls which made investing seem like it was only for professionals or the wealthy. We wanted investors of all levels to confidently take on the market and have a platform that provides all the needed tools and data, along with the support and inspiration from a global community of investors. Together, we strive to make smarter investing accessible to everyone.
Job Title: Fresh Grad Hire-Security Policy Engineer
Job Type: Graduate Job
Target Students: Final Year
Job Description:
1. Design security strategies for Digital Asset-related businesses, including the development and optimization of protective measures for account security, anti-fraud, and financial risk control.
2. Identify and analyze fraud risks in Digital Asset/Web 3 scenarios (such as high-frequency abnormal transactions, fund pooling, fund theft), and summarize characteristics of malicious activities, profit models, and key behavioral chains.
3. Build models based on user behavior data to monitor and counter specific user groups, combating black/gray industry chains.
Job Requirements:
1. Bachelor’s degree or higher in Computer Science, Information Security, Data Analysis, Statistics, or a related field.
2. Understanding of behavioral anomaly detection techniques with the ability to identify and investigate fraudulent activities.
3. Skilled in using data mining, graph computing, and time-series mining to construct multi- factor, multi-dimensional security profiles for users, devices, and environments, supporting risk control decision-making.
4. Familiar with common machine learning algorithms (such as classification, regression, clustering, anomaly detection). Knowledge of prompt engineering and fine-tuning techniques in the field of large language models is a plus.
Application Details:
https://join.futunn.com/#position
https://apply.workable.com/moomoo/
Application Deadline: 30 May 2026 (Saturday)
Date Exhibited: 22 December 2025
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