Quantitative Trader, Trading Team

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

What You'll Do:

As a Quantitative Trader, you will work closely with experienced Traders and Quantitative Researchers to provide strategy analysis, market knowledge, and technical horsepower. This role will allow you to do a deep dive into strategy performance, learn about how to debug challenging infrastructure issues, and ultimately fine‑tune algorithmic strategies on‑the‑fly to ensure optimal performance in reaction to constantly changing markets. This may include other duties as assigned or needed.

Skills You'll Need:

• Highly analytical mind - capable of thinking critically, identifying patterns and making decisions
• Inquisitive and self-driven - keen to dive into the complex world of HFT and find ways to improve the business
• Strong desire to learn about the financial markets (both microstructure and macro)
• 2+ years of programming / software engineering experience – Python preferred.
• Good understanding of Linux administration.
• Strong communication / written skills- able to travel and network within a global organization
• Reliable and predictable availability

Bonus Points:

• Statistics / Machine Learning