Whom are we looking for?
BlockTech is a fast-paced algorithmic trading firm facilitating global cryptocurrency derivatives and spot trading while expanding into new 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 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 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.
Join us to unlock your potential and drive innovation in the exciting world of algorithmic trading.
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
