Python Quant Developer — AI Trading Tools & Ownership

United States Digital Space LLC; Singapore; On-site; SGD 180,000 - 240,000; Full time

Benefits offered by this job

Base salary + performance bonus

Relocation & visa support

Greenfield projects

Job summary

United States Digital Space LLC is seeking a Quantitative Developer/Researcher to own end-to-end Python-based trading tools, pricing engines, and real-time execution. You will work with portfolio managers and traders to build next-gen quantitative models and alpha-generating strategies.

You will apply ML/AI workflows to unstructured energy market data, build scalable data pipelines, and contribute to high-impact trading decisions in a fast-paced, meritocratic environment.

Qualifications

• 3–5 years of experience as a Quant Developer/Researcher or Quantitative Engineer.
• Advanced engineering in Python or other languages (Java/C++/C#/Rust/Golang, etc.).
• Strong mathematical, statistical, or ML foundations; hands-on AI/ML projects valued.

Responsibilities

• Design, develop, and optimize Python-based trading tools, pricing engines, and real-time execution algorithms.
• Research and implement ML/AI workflows to extract insights from global energy market data.
• Build robust data pipelines to ingest and cleanse alternative datasets for trading decisions.
• Operate in a high-intensity environment with direct impact on trading desk results.

Skills

Python

Other languages (Java/C++)

ML/AI concepts

Data analysis

Tools

NumPy/SciPy

Pandas

Job description

United States Digital Space LLC is seeking a Quantitative Developer/Researcher to own end-to-end Python-based trading tools, pricing engines, and real-time execution. You will work with portfolio managers and traders to build next-gen quantitative models and alpha-generating strategies.

You will apply ML/AI workflows to unstructured energy market data, build scalable data pipelines, and contribute to high-impact trading decisions in a fast-paced, meritocratic environment.