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AI Risk Control Algorithm Engineer

27 minutes ago

Dubai, Dubai, United Arab Emirates OX Human Resources Consultancies Full time

Key Responsibilities:

  1. Risk Control Model Development:
    Build user behavior models for forex trading scenarios, including classification models (to distinguish normal traders vs. exploit/arbitrage abusers) and anomaly detection models.
  2. Multi-dimensional Feature Engineering:
    Deeply mine massive transaction data and nonlinearly fuse real-time K-line trends, market volatility, and other environmental features with user trading behavior to construct a high-dimensional feature repository.
  3. Order Routing Optimization:
    Use machine learning or reinforcement learning (RL) algorithms to optimize order routing decisions (A-Book external hedging vs. B-Book internalization) for users with different risk levels, maximizing platform profitability.
  4. Real-time Inference Deployment:
    Collaborate with engineering teams to deploy models in low-latency trading environments, ensuring millisecond-level order processing latency.
  5. Strategy Iteration & Evaluation:
    Continuously monitor online model performance, analyze false positives/negatives, and enable model self-evolution and incremental training through feedback loops.

Requirements:

  1. Educational Background:
    Bachelor's degree or above in Computer Science, Mathematics, Statistics, Financial Engineering, or related fields; strong foundation in mathematics and algorithms.
  2. Algorithm Expertise:
    Proficient in tree-based models such as Random Forest, XGBoost, and LightGBM; hands-on experience with time-series deep learning architectures like RNN/LSTM/Transformer.
  3. Engineering Skills:
    Proficient in Python and scientific computing libraries (Pandas, NumPy, Scikit-learn); familiar with at least one deep learning framework (PyTorch/TensorFlow); strong coding standards.
  4. Data Processing:
    Familiar with real-time stream processing technologies such as Kafka, Flink, or Spark Streaming; capable of handling large-scale, high-frequency financial time-series data.
  5. Industry Knowledge:
    Deep understanding of trading mechanisms for forex, gold, and other financial products; familiarity with common arbitrage strategies such as latency arbitrage and scalping is a plus.

  6. Preferred Qualifications:

  7. Experience in high-performance / low-latency system development.

  8. Prior experience in risk control or quantitative modeling at well-known brokerages, forex dealers, or high-frequency trading firms.
  9. Proficient in
    Mandarin and English
    to liaise with stakeholders.