Quantitative Developer: Build & Optimize Trading Tools

Tardis Group; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

Tardis Group is seeking a Quantitative Developer to join its fast-paced team focused on building and improving trading strategies through collaboration with researchers. You will develop Python-based tools, enhance simulation and backtesting frameworks, and support global research workflows.

You will contribute to a high-performance research environment, working across APAC regions with engineers and researchers to improve trading performance and research throughput.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proficiency with data and statistical libraries such as NumPy, Pandas, or Polars.
• Strong problem-solving skills with the ability to operate in a fast-paced environment.
• Excellent communication and collaboration skills.

Responsibilities

• Collaborate closely with quantitative researchers to iterate and improve trading strategies
• Develop and maintain Python-based tools for research and analysis
• Enhance and optimise simulation and backtesting frameworks
• Monitor and maintain quantitative research workflows and jobs
• Support global research teams, particularly across APAC regions

Skills

Python

NumPy

Pandas

Polars

C++

Bash

Workflow orchestration

Education

Bachelor's degree in CS/Engineering or related field

Tools

Bash

Job description

Tardis Group is seeking a Quantitative Developer to join its fast-paced team focused on building and improving trading strategies through collaboration with researchers. You will develop Python-based tools, enhance simulation and backtesting frameworks, and support global research workflows.

You will contribute to a high-performance research environment, working across APAC regions with engineers and researchers to improve trading performance and research throughput.