Senior Quantitative Researcher | Crypto Delta One

Unchain Data; Singapore; On-site; SGD 180,000 - 280,000; Full time

Benefits offered by this job

Relocation package

Laptop & home office budget

Gym membership reimbursement

Daily meals provided

Job summary

BlockTech, a crypto trading firm, seeks a senior quantitative researcher to own the research agenda end-to-end—from hypothesis and dataset construction to backtesting, live deployment, monitoring, and iteration. You will work shoulder-to-shoulder with researchers, traders, and engineers to shape pricing and trading, mentor colleagues, and raise the bar for rigour across the floor.

Join our team in Singapore to push the frontier of automation in crypto markets using state-of-the-art ML and robust

Qualifications

• 4+ years of hands-on quantitative research and/or applied ML with production trading experience.
• Strong academic foundation in a quantitative discipline (math/physics/stats/CS/ML).
• Fluency in Python and modern ML stack (PyTorch/TensorFlow, scikit-learn, NumPy, pandas).
• Deep understanding of overfitting, generalisation, validation design, and feature engineering.

Responsibilities

• Own price-prediction, signal, execution, and anomaly-detection models from idea to live PnL.
• Shape research, backtesting, and trading infrastructure with engineers for rapid production deployment.
• Maintain production models: monitor, diagnose decay, and iterate improvements.
• Set research direction with traders, deciding which trades to pursue and why.
• Mentor colleagues, review work, and raise rigour across the team.

Skills

Python

ML

Backtesting

Research

Communication

Software engineering

English fluency

Education

Quantitative discipline degree

PhD preferred

Tools

PyTorch

TensorFlow

scikit-learn

NumPy

pandas

Job description

About BlockTech

BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance.

Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further.

The Role

This is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction.

You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on.

Responsibilities

• Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL using state-of-the‑art ML
• Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely
• Own models in production: monitor live performance, diagnose decay, and iterate on what you ship
• Set research direction alongside traders, deciding which trades are worth making and why
• Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour

Requirements

• 4+ years of hands‑on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading live
• A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar)
• Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit‑learn, NumPy, pandas)
• A deep, intuitive grasp of overfitting, generalisation, validation design, and feature engineering. You can explain why and how a model works, not just that it does
• The judgement to prioritise research bets independently and the communication skills to align researchers, engineers, and traders
• Strong software engineering instincts: production‑grade code that others can read, test, and run
• Clear written and verbal English

Nice to Have

• A live‑trading track record, ideally in crypto derivatives, or a similar domain
• Experience mentoring or leading other researchers
• Familiarity with market microstructure and derivatives pricing

What We Offer

• A permanent full-time position in a relaxed and trendy office located in the heart of Singapore's financial district (CBD)
• Competitive compensation consisting of a base salary combined with a very attractive bonus plan based on individual and company performance
• Outstanding performance is rewarded with the opportunity to buy into the trading fund
• An extensive in‑house training program and an annual learning & development budget
• The opportunity to work at the forefront of automated trading using state‑of‑the‑art technology, in an environment that embraces AI to both accelerate productivity and advance our systems and models
• Laptop, home office budget and transportation allowance
• Daily breakfast and warm lunch. Additionally, snacks and drinks are provided throughout the day
• Reimbursement of gym membership, sports events and the opportunity to do sports during working hours
• Regular social events, including bi‑annual trips abroad and frequent outings
• For internationals: All‑in relocation package

Our Culture

At our core, we are a team of passionate trading and tech enthusiasts committed to revolutionizing trading through automation. Our collaborative approach ensures that everyone contributes to achieving our ambitious goals.

In this role, you will be both challenged and stretched, with ample opportunities for growth and development, both within and beyond your main responsibilities.

We invest in our people by offering competitive compensation and benefits, fostering innovation, and celebrating success. Our commitment to personal development transcends traditional norms; we provide an equal playing field, promote reverse leadership, and offer boundless growth opportunities for all our employees.