Deep Learning Researcher

About the Role

We are collaborating with a progressive and research-centric quantitative trading company seeking an outstanding Deep Learning Researcher to enhance their Research team in Singapore. The role involves developing and deploying deep learning models across multiple asset classes, serving mid to high-frequency trading strategies on global markets.

Key Responsibilities

• Lead research and innovation in machine learning, primarily focusing on deep learning and large language models (LLMs).
• Design, develop, and fine-tune machine learning models to ensure optimal performance and scalability.
• Work closely with multidisciplinary teams to embed machine learning solutions within trading strategy frameworks.

Candidate Profile

• Possess a PhD in Computer Science, Mathematics, Statistics, Physics, or another closely related quantitative discipline; postdoctoral experience is advantageous.
• Proven track record in researching and developing deep learning architectures for time-series analysis, forecasting, and prediction.
• Experienced with Python programming and proficient with contemporary deep learning libraries and frameworks.
• Understanding of large language models and their applied uses.
• Previous background in finance is not mandatory.