Quantitative Trader

Who are we looking for?

BlockTech is a fast-paced algorithmic trading firm facilitating global cryptocurrency trading while expanding into regulated markets. As we continue to grow rapidly, we are looking for a Quantitative Trader to join us amid our exciting scale-up phase!

You are a hands-on trader with a deep understanding of linear products, market microstructure, and risk. You are comfortable taking ownership of positions, improving PnL, and working closely with technology to continuously optimize trading performance.

What will you do?

As Quantitative Trader, you will take direct responsibility for the performance and robustness of our automated and semi-automated trading strategies.

Your responsibilities include, but are not limited to:

• Managing and monitoring Delta1 trading positions across multiple venues

• Actively interpreting market flow, liquidity conditions, and market events

• Improving execution quality and market-making performance

• Evaluating strategy performance and identifying areas for optimization

• Fine-tuning and parameterizing automated trading systems

• Designing and specifying trading tools and analytics to support decision-making

• Collaborating closely with quantitative developers, software engineers, and data scientists to improve models, infrastructure, and execution logic

• Providing input on strategy roadmaps and prioritization of new trading initiatives
  

You will act as a domain expert within the trading team, knowing when and how to intervene in automated systems to manage risk and capture opportunities. At BlockTech, traders are expected to combine strong market intuition with a systematic, data-driven mindset.

What is in it for you?

• A permanent full-time position in a relaxed and trendy office in the heart of Singapore’s financial district (CBD)

• Highly competitive compensation, consisting of a strong base salary and an attractive performance-based bonus

• For top performers: the opportunity to buy into the trading fund

• Laptop, home office budget, and transportation allowance

• Daily breakfast and warm lunch, plus snacks and drinks throughout the day

• The opportunity to trade at scale using state-of-the-art, low-latency infrastructure

• Learning & development budget to further sharpen your trading and technical skills

• Reimbursement of gym membership, sports events, the opportunity to exercise during working hours, and unlimited access to a psychologist

• Regular social events, including bi-annual trips abroad, frequent outings, and weekly Friday drinks

• For international hires: a comprehensive 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.

Job requirements

• 3+ years of experience as a Quantitative Trader and/or Quantitative Researcher in a professional trading environment

• Excellent numerical and analytical skills, with strong trading intuition

• Demonstrated PnL responsibility and a proven track record trading linear (Delta1) products across multiple venues

• Strong understanding of market microstructure, including order books, liquidity dynamics, execution costs, and latency trade-offs

• Hands-on experience with automated and semi-automated trading systems, including monitoring, tuning, and intervention under live market conditions

• Ability to analyze strategy performance using data and translate insights into concrete trading or execution improvements

• Proficient in Python for analysis, tooling, and interaction with trading systems 

• Comfortable operating in fast-moving, high-responsibility environments where decisions have immediate financial impact

• Ownership mindset: proactive, accountable, and comfortable taking initiative rather than waiting for direction

• Strong communication skills and the ability to collaborate effectively with developers, engineers, and fellow traders

• Fluent in English, both written and verbal