Quantitative Researcher, Crypto Delta One

Albert Bow; Singapore; On-site; SGD 180,000 - 320,000; Full time

Benefits offered by this job

Relocation package

Daily meals

Gym reimbursement

Team trips abroad

Job summary

Albert Bow Limited seeks a senior, hands-on quant researcher on our Singapore trading floor. You will own the research agenda end-to-end, covering price prediction, signal generation, execution and anomaly detection models, from hypothesis and feature engineering through backtesting to live deployment.

You will set research direction with traders, mentor junior researchers, and participate in a relocation-friendly package including full relocation support, daily meals, gym reimbursement, and

Qualifications

• 4+ years of quant research or applied ML with models used in live trading.
• Strong academic background in maths, physics, statistics, CS or ML.
• Fluency in Python and the ML stack (PyTorch/TensorFlow, scikit-learn, NumPy, pandas).
• Production-grade coding instincts.

Responsibilities

• Own and drive the end-to-end research agenda from hypothesis to live deployment.
• Develop models for price prediction, signal generation, execution and anomaly detection.
• Mentor junior researchers and coordinate with traders on research direction.

Skills

Quant research

Python

ML frameworks

Feature engineering

Production-grade coding

Education

Strong academic background in maths, physics, statistics, CS or ML

Tools

PyTorch

TensorFlow

scikit-learn

NumPy

pandas

Job description

Sector: Algorithmic Trading / Digital Asset Derivatives
Salary: Competitive Base + Performance Bonus
Location: Singapore (Onsite, relocation provided)

About The Company

Our client is a fast-growing algorithmic trading firm trading digital asset derivatives and spot globally, 24/7. Crypto offers abundant data, novel microstructure and one of the shortest loops between research idea and live PnL in finance.

The Role

This is a senior, hands-on research seat on the Singapore trading floor. You'll own a research agenda end to end, covering price prediction, signal, execution and anomaly detection models, from hypothesis and feature engineering through backtesting to live deployment. You'll set research direction with traders and mentor less experienced researchers.

Requirements

• 4+ years of quant research or applied ML with models taken into live trading.
• Strong academic background in maths, physics, statistics, CS or ML.
• Fluency in Python and the ML stack (PyTorch/TensorFlow, scikit-learn, NumPy, pandas).
• Deep grasp of overfitting, validation design and feature engineering.
• Production-grade coding instincts.

Nice to Have

• Live trading track record, ideally in crypto derivatives.
• Experience mentoring or leading researchers.
• Familiarity with market microstructure and derivatives pricing.

Why Join?

• Own and set the direction of your research agenda.
• Base plus strong performance bonus, with the opportunity to invest in the trading fund.
• Full relocation package for internationals.
• Daily meals, gym reimbursement and regular team trips abroad.