Junior Quant Researcher — Crypto ML for Live Edge

BlockTech; Singapore; On-site; SGD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive compensation

Bonus plan

Relocation support

Training & learning budget

Home office budget

Gym membership reimbursement

Social events

Job summary

BlockTech, a fast-paced algorithmic trading firm in Singapore, is hiring a Quantitative Researcher to shepherd ideas from hypothesis and dataset construction to live deployment.

You’ll work shoulder-to-shoulder with traders and analysts to translate research into systematic trading strategies and robust research infrastructure.

Expect a strong academic background, fluency in Python and ML tooling (PyTorch/TensorFlow, scikit-learn), and a keen interest in financial markets.

Qualifications

• Strong academic background in a quantitative discipline (Math, Physics, Statistics, CS, Econometrics, ML/AI)
• Fluency in Python and modern ML stack (PyTorch/TF, scikit-learn)
• Deep understanding of overfitting, generalisation, validation design and feature engineering

Responsibilities

• Own models end-to-end from hypothesis to deployment
• Collaborate with traders to translate research into systematic strategies
• Build and maintain robust backtesting and research infrastructure
• Monitor live performance and iterate on models in production

Skills

Python

ML/AI

Research background

Education

PhD or MSc in quantitative field

Tools

PyTorch

TensorFlow

scikit-learn

NumPy/Pandas

Job description

BlockTech, a fast-paced algorithmic trading firm in Singapore, is hiring a Quantitative Researcher to shepherd ideas from hypothesis and dataset construction to live deployment.

You’ll work shoulder-to-shoulder with traders and analysts to translate research into systematic trading strategies and robust research infrastructure.

Expect a strong academic background, fluency in Python and ML tooling (PyTorch/TensorFlow, scikit-learn), and a keen interest in financial markets.