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Black Dragon Asset Management Limited is seeking a talented Quantitative Analyst to help drive investment decisions by developing and optimizing systematic trading strategies. The role focuses on portfolio construction, risk management, and performance enhancement within a hedge fund setting in Hong Kong.
You will apply quantitative techniques to large datasets, develop predictive models, and stay abreast of global market structure.
Black Dragon is an asset management company based in HK with SFC Type 1, 4 and 9 licenses, backed by a leading conglomerate from South East Asia. Currently, we manage a multi-strategy Hedge Fund, focusing on Asian Pacific equity market investment.
We are seeking a talented and experienced Quantitative Analyst. As a key member of our investment team, you will play a pivotal role in driving our investment decision-making process by developing, implementing, and optimizing quantitative investment strategies. Your work will directly contribute to portfolio construction, risk management, and performance enhancement, ultimately delivering value to our clients and stakeholders.
Conduct in-depth research and development of systematic trading strategies, including idea generation, data collection, statistical analysis, and back testing.
Apply quantitative and statistical techniques to large and diverse datasets to identify market inefficiencies and structural opportunities.
Design, refine and optimize predictive models for alpha generation and trading signals.
Stay updated on global market structure developments.
2-3 years of experience in quantitative strategy development.
Strong programming and research skills; proficiency in Python/C++ is required.
Proficiency in generative AI tools such as ChatGPT and Claude, with hands-on experience using skills, AI agents, or model APIs to solve practical problems.
Ability to design and refine prompts for specific tasks and validate model outputs to improve efficiency in research and data processing.
Solid foundation, deep understanding, and practical experience in at least one of the following areas:
Including but not limited to stochastic processes, time-series analysis, and operations optimization.
Including but not limited to data mining, predictive modeling, reinforcement learning, or natural language processing.
6. Proficiency in Mandarin and English.