Quantitative Developer

About the Role

Join a globally recognized quantitative trading firm renowned for leveraging cutting-edge technology, high-performance systems, and independent trading teams. With a track record of over twenty years in innovation, the firm excels at identifying unique opportunities within electronic trading markets.

You will become part of a collaborative team where expert engineers and quantitative researchers join forces to create, develop, and refine advanced trading strategies. The firm emphasizes significant investment in technology and talent, providing exposure to low-latency systems, large-scale data analytics, and modern research infrastructure.

This role offers a high-energy, intellectually challenging environment where your work will have a direct influence on trading strategy creation and execution.

Key Responsibilities

• Work closely with quantitative researchers to iterate on and enhance trading strategies.
• Design, build, and maintain Python-driven tools used for research and data analysis.
• Improve and optimize simulation frameworks and backtesting processes.
• Oversee and maintain quantitative research workflows and job executions.
• Provide support to global research teams, with a focus on the APAC regions.

Candidate Requirements

• A Bachelor’s degree in Computer Science, Engineering, or a related discipline is mandatory.
• Proven expertise in Python programming.
• Experience with data manipulation and statistics libraries such as NumPy, Pandas, or Polars.
• Strong analytical problem-solving capabilities to thrive in a dynamic, fast-moving environment.
• Excellent skills in communication and teamwork.
• Preferred but not required: background in C++ programming.
• Knowledge of scripting languages like Bash is a plus.
• Familiarity with workflow orchestration or task scheduling systems is advantageous.
• Basic understanding of financial markets would be beneficial.