Role Summary:
Designs and implements AI-powered systems for data analysis, market behavior prediction, fraud detection, and decision optimization across the platform.
Responsibilities:
- Develop machine learning models for user behavior analysis and risk prediction.
- Build systems for fraud detection, dynamic pricing, and sentiment analysis.
- Collaborate with Risk, Treasury, and QA teams to automate decision-making.
- Utilize real-time data to generate actionable insights.
- Develop AI-driven alert systems for operational anomalies.
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Skills & Requirements:
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience with real-time data processing and streaming systems.
- Understanding of anomaly detection and reinforcement learning.
- Strong documentation and model optimization skills.
- Experience in AI projects within financial or crypto sectors is a plus.
- Complete familiarity with financial markets and crypto, considered a priority.