Quantitative Researcher (HFT)

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

Overview

Not all prop trading firms are created equal. If you’re a Quant Researcher who has previously considered a career move, you’ll likely have asked yourself the following questions: What infrastructure will I have access to? What is the company’s true appetite for risk? What is the track record of the team / company I’ll be joining? These are just a few questions that will be important to you if you’re skilled at turning raw data into alpha. After all, contributing directly to profitable strategies is no easy feat.

We’re working with a global trading firm that has been consistently generating profits on a proprietary basis for decades, and we’re hiring the brightest minds in HFT to scale their fully algorithmic trading efforts. You’ll be building HFT strategies at the core of this business by:

• Diving into petabytes of order book data
• Building predictive signals to incorporate into your trading strategy
• Partnering with world‑class engineers to optimise the latency and execution of your strategy

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++

What to Expect

• A culture that rewards curiosity, creativity and competitiveness
• Teams home to best‑in‑class professionals for their area of expertise
• A collaborative, intellectually stimulating environment where the best idea wins

If you like the idea of trading at the speed of thought, please apply with your most recent CV.