Senior Quantitative Researcher | Crypto Delta One

Block Tech; Singapore; Hybrid; SGD 200,000 - 280,000; Full time

Benefits offered by this job

Laptop & home office budget

Transport allowance

Relocation package

Daily meals

Job summary

BlockTech in Singapore invites a senior Quantitative Researcher to own the edge from hypothesis to live PnL, including dataset construction, feature engineering, model training, backtesting, and deployment.

You will work shoulder-to-shoulder with researchers, traders and engineers to shape pricing and trading, mentor peers, and raise the bar for rigour and production-grade code.

Qualifications

• 4+ years of hands-on quantitative research and/or applied ML experience.
• 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.
• 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.
• 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.

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.

Skills

Python

Quantitative research

Applied ML

Tools

PyTorch

TensorFlow

scikit-learn

NumPy

pandas

Job description

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.

What you'll do

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

What we're looking for

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

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

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's in it for you?

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

Additionally, 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 frontier 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.

Join us to unlock your potential and drive innovation in the exciting world of algorithmic trading.