Machine Learning Quant Engineer

This temporary role requires an ML Quant Engineer with expertise within an Investment Bank. The position is based in London and involves developing and implementing machine learning models to support financial decision-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 recognition in market data.
• Optimise model performance using techniques such as hyper-parameter tuning, ensemble methods, and neural architecture search.
• Collaborate with quantitative analysts to align ML models with pricing methodologies and identify opportunities for innovation.
• Support the deployment of ML solutions into production systems for real-time risk management and pricing automation.

Profile

• Advanced Machine Learning Expertise - Demonstrates deep understanding of ML algorithms (supervised, unsupervised, reinforcement learning) and has hands-on experience with deep learning architectures like RNNs, LSTMs, and Transformers.
• Stro...