Quantitative Trader: Strategy Tuning & Live Markets

P2P; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

P2P in Singapore is seeking a Quantitative Trader who will collaborate with experienced Traders and Quantitative Researchers. The role focuses on strategy analysis, debugging infrastructure issues, and fine-tuning algorithmic strategies to perform optimally in changing markets.

Ideal candidates should have over 2 years of programming experience, preferably in Python, alongside a strong analytical mindset and good communication skills. Inquisitiveness and reliability are also key attributes for success in this position.

Qualifications

• 2+ years of programming/software engineering experience, preferably in Python.
• Good understanding of Linux administration required.
• Strong analytical mind with critical thinking skills.

Responsibilities

• Provide strategy analysis and market knowledge to Traders and Researchers.
• Dive deep into strategy performance and debug infrastructure issues.
• Fine-tune algorithmic strategies to adapt to market changes.

Skills

Analytical thinking

Self-driven

Interest in financial markets

Programming experience (Python)

Linux administration

Strong communication skills

Reliable availability

Job description

P2P in Singapore is seeking a Quantitative Trader who will collaborate with experienced Traders and Quantitative Researchers. The role focuses on strategy analysis, debugging infrastructure issues, and fine-tuning algorithmic strategies to perform optimally in changing markets.

Ideal candidates should have over 2 years of programming experience, preferably in Python, alongside a strong analytical mindset and good communication skills. Inquisitiveness and reliability are also key attributes for success in this position.