Quantitative Trader

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Description

ALC Technologies SG Pte Ltd is looking for an exceptional Quantitative Trader to join our team. In this role you conduct creative research and impact our trading strategies. You will have the opportunity to work alongside co-founders who are industry experts in the rapidly developing field of cryptocurrencies and digital assets. This is a rare opportunity where your work will directly contribute to the success of new and existing trading strategies. If you also have hands-on experience in software development and agile methodologies, we’d like to meet you. Optimise hedgingMonitor real-time market conditions and adjust positions to capitalize on short-term opportunities or mitigate evolving risks. Work with risk management teams to calibrate margin, leverage, and capital allocation across various strategies and markets. Analytics & Optimization - Leverage data-driven insights—including historical patterns, intraday signals, and volatility indicators—to refine and optimize execution algorithms. Conduct post-trade analyses to identify slippage sources or other inefficiencies, iterating quickly to improve execution quality. Provide feedback to quant researchers on model performance in live trading environments, aligning research priorities with execution needs. Knowledge of market microstructure, order types, order routing, and algorithmic execution. Basic options knowledge is a plus Quantitative & Analytical Acumen - Comfort with statistical techniques, data analysis, and risk management methods relevant to high-volume or high-frequency trading. Analytical mindset to interpret large data sets, identify trading signals, and quickly adjust strategies based on market feedback. ) is a plus. Soft Skills & Mindset Ownership & Drive - Demonstrated track record of taking initiative and pushing to maximize trading desk performance. Adaptability : Ability to work in fast-paced, sometimes volatile crypto markets, making decisions with incomplete information. Communication : Capable of articulating trading rationale, risk exposures, and performance drivers to both technical and non-technical stakeholders. The Ideal Candidate Prior experience in a quantitative role within a trading environment or experience applying advanced quantitative techniques Passion for solving complex and data intensive problems Capable of delivering on multiple competing priorities with little supervision Strong proficiency in programming languages C++ and/or Python Bachelors, Masters or PhD in a technical field from top-tier universities such as Physics, Mathematics, Statistics, Engineering, Computer Science or equivalent Compensation & Benefits Competitive salary based on experience Participation in company bonus pool Daily catered lunch Health insurance and wellness benefits Unlimited vacation policy

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