HFT Quant Researcher: Build Profitable Low-Latency Signals

Durlston Partners; Singapore; On-site; SGD 150,000 - 195,000; Full time

Job summary

Durlston Partners in Singapore is seeking a Quant Researcher to develop high-frequency trading strategies and turn raw data into alpha. You will be responsible for designing and evaluating models, testing ideas at speed, and delivering signals that can scale across markets.

You’ll dive into petabytes of order book data, build predictive signals, and work closely with world-class engineers to optimize latency, execution, and risk controls.

Qualifications

• Worked in a high-calibre proprietary trading firm / team before
• Built profitable trading strategies in any market
• Partnered with developers before, seeing how your ideas in Python are deployed in C++

Responsibilities

• Develop high-frequency trading strategies and turn raw data into alpha.
• Dive into petabytes of order book data and build predictive signals.
• Collaborate with engineers to optimise latency and execution

Skills

Prop trading experience

Algorithmic trading

Collaborative mindset

Tools

Python

C++

Job description

Durlston Partners in Singapore is seeking a Quant Researcher to develop high-frequency trading strategies and turn raw data into alpha. You will be responsible for designing and evaluating models, testing ideas at speed, and delivering signals that can scale across markets.

You’ll dive into petabytes of order book data, build predictive signals, and work closely with world-class engineers to optimize latency, execution, and risk controls.