South East London, London, United Kingdom Hybrid / WFH Options
Certain Advantage
technologies (Databricks, PySpark, Lakehouses, Kafka). Advanced mathematics and quantitative analysis skills, ideally with hands-on experience in probabilistic modeling and the valuation of financial derivatives. Domain expertise in derivatives within energy commodities-especially LNG, Gas, or Power Trading Does this sound like your next career move? Apply today! Working with Certain Advantage We go the extra mile to find More ❯
technologies (Databricks, PySpark, Lakehouses, Kafka). Advanced mathematics and quantitative analysis skills, ideally with hands-on experience in probabilistic modeling and the valuation of financial derivatives. Domain expertise in derivatives within energy commodities-especially LNG, Gas, or Power Trading Does this sound like your next career move? Apply today! Working with Certain AdvantageWe go the extra mile to find the More ❯
making. Client Details The hiring organisation is a large entity within the financial services industry. Description Design and implement machine learning models for financial applications, with a focus on derivatives pricing, risk analytics, and market forecasting. Build scalable ML pipelines to process large volumes of financial data efficiently. Develop deep learning architectures for time series prediction, anomaly detection, and pattern … understanding of ML algorithms (supervised, unsupervised, reinforcement learning) and has hands-on experience with deep learning architectures like RNNs, LSTMs, and Transformers. Strong Financial Domain Knowledge - Understands financial instruments, derivatives, and risk management principles, with experience applying ML in trading, pricing, or risk analytics contexts. Technical Proficiency - Expert in Python and familiar with ML frameworks such as PyTorch, TensorFlow, and More ❯
