Machine Learning Engineer

Old Bailey
2 months ago
Applications closed

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Machine Learning Development

  • Design and implement machine learning models for financial applications, with a focus on pricing and risk analytics

  • Build scalable ML pipelines for processing large-scale financial data

  • Develop deep learning architectures for time series prediction, anomaly detection, and pattern recognition in market data

  • Optimize model performance through advanced techniques including hyperparameter tuning, ensemble methods, and neural architecture search

  • Collaborate with quants to understand pricing model requirements and identify ML opportunities

  • Develop data-driven approaches to complement traditional quantitative finance models

  • Support implementation of ML solutions for derivatives pricing and risk management

    Core Technical Skills

    Machine Learning Expertise:

  • Deep understanding of ML algorithms (supervised/unsupervised learning, reinforcement learning)

  • Extensive experience with neural networks, including RNNs, LSTMs, Transformers

  • Expertise in gradient boosting, random forests, and ensemble methods

  • Experience with generative models (GANs, VAEs, Diffusion models)

    Programming & Tools:

  • Expert-level Python programming

  • Proficiency with ML frameworks (PyTorch, TensorFlow, JAX)

  • Experience with scikit-learn, XGBoost, LightGBM

  • Strong software engineering practices and clean code principles

    Data & Computing:

  • Experience with big data technologies (Spark, Dask)

  • SQL and NoSQL databases

  • Cloud platforms (AWS, GCP, Azure)

    Experience

  • Track record of successfully deployed ML models at scale

  • Experience with time series analysis and forecasting

  • Experience applying ML in finance, trading, or risk management contexts

  • Knowledge of stochastic processes and their applications

    Financial Knowledge

  • General understanding of financial markets and instruments

  • Basic knowledge of derivatives and their risks

  • Awareness of risk management principles

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