Deep Learning Researcher

Vertex Search; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Vertex Search in Singapore is seeking a Deep Learning Researcher to join its research team. You will build and deploy models across multiple asset classes for mid- and high-frequency trading, applying time-series forecasting and LLMs to global markets.

The role is based in Singapore and thrives in a collaborative, research-focused environment. PhD in a quantitative field is preferred; you should have hands-on Python experience with modern DL frameworks and familiarity with LLMs.

Qualifications

• PhD in a quantitative field is required or strongly preferred.
• Hands-on experience with Python and modern DL frameworks.
• Experience with time-series forecasting and LLMs is desirable.
• No prior finance experience required.

Responsibilities

• Conduct research and development in ML with a focus on deep learning and LLMs.
• Design, implement, and optimize ML models for performance and scalability.
• Collaborate with cross-functional teams to integrate ML into trading strategies.

Skills

Python

Deep Learning

Time-series forecasting

LLMs

Education

PhD in Computer Science / Mathematics / Statistics / Physics

Tools

TensorFlow

PyTorch

Job description

We are partnered with a highly collaborative, research-driven quantitative trading firm who are looking for an exceptional Deep Learning Researcher to join their Research team in Singapore.

As a DL Researcher, you'll build and deploy models across various asset-classes for both mid & high frequency strategies covering global markets.

Key Responsibilities

• Conduct research and development in ML, with a focus on deep learning and LLMs
• Design, implement, and optimize ML models for performance and scalability.
• Collaborate with cross-functional teams to integrate ML solutions into trading strategies.

About you

• PhD in Computer Science, Mathematics, Statistics, Physics, or a related quantitative field; postdoctoral research experience a plus
• Experience researching and developing deep learning models for time-series / forecasting / prediciton.
• Hands‑on proficiency in Python and a modern deep learning frameworks
• Familiarity with lLLMs and their practical applications
• No prior finance experience required