Quant Trader (VP)
Crypto.com
Singapore
We are looking for mid-to-senior quantitative traders to join our multi-strategy desk and help drive the next stage of growth in our trading business.
Our Quant Trading team builds high-performance data and trading infrastructure, and systematically trades across crypto spot and derivatives, prediction markets, and traditional financial markets. We combine statistical market analysis, strategy research, and strong engineering discipline to identify opportunities and turn ideas into production trading systems.
This role sits in a flat and highly collaborative environment, working closely with data analysts, core developers, and trading operations. You will be expected to move quickly, think independently, and use modern tools — including AI-assisted development — to tackle complex problems across research, execution, infrastructure, and live trading.
Job Responsibilities
Lead the development of trading strategies, work with dev on implementation, and responsible for risk and PnL management.
Oversee and allocate resources to ensure trading operations and tasks are executed efficiently and at scale
Monitor, analyse, and report on daily market sentiment, risk exposures, P&L, and other key trading metrics
Conduct post-trade analysis to evaluate and refine trading strategies and algorithmic performance
Partner closely with trading developers to enhance pricing models, execution logic, and booking systems
Identify opportunities to improve trading infrastructure and contribute to the continuous evolution of the team's quantitative capabilities
Job Requirements
Master's degree or above in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Financial Engineering) from a top-tier global university
Minimum 5 years of experience in systematic or electronic trading environments, with a strong understanding of crypto markets preferred
Proficient in Python, C++, or Java; enthusiastic about deepening technical expertise in a high-performance trading context
Demonstrated ability to leverage AI tools and technologies to enhance productivity and work output
Exceptional analytical and problem-solving skills, with acute attention to detail
Proven ability to perform under pressure and make sound decisions in fast-paced, high-stakes environments