APAC Quant Researcher

2 weeks ago

Shanghai, Shanghai, China Selby Jennings Full time

We have a current opportunity for a Senior Quantitative Researcher on a permanent basis. This role provides a platform for you to apply and expand your expertise in quantitative analysis, specifically alpha research within financial markets. The position will be based in Beijing/Shanghai/HongKong/Singapore. If you are passionate about leveraging data-driven insights to solve complex problems and thrive in a collaborative environment, this position could be the perfect fit for you. For further information about this position please apply.

Key Responsibilities

  • Conducting in-depth research to identify, refine, and validate quantitative factors that enhance financial analysis and trading strategies.
  • Engaging in the collection, cleaning, and processing of large-scale financial market data. You will apply rigorous analytic techniques to evaluate the performance and reliability of quantitative factors, ensuring that they align with real-world trading applications and objectives.
  • Your contributions will directly support the development of innovative solutions and strategies that drive meaningful results, strengthening the foundation of our research and trading operations.

Qualifications

  • A Bachelor's degree or higher from a prestigious university, with a focus on Science, Technology, Engineering, or Mathematics (STEM) disciplines such as Computer Science, Mathematics, Automation, Physics, or Financial Engineering. Advanced degrees are highly valued and indicative of deep expertise in relevant fields.
  • A minimum of 3 years of hands-on experience in factor research, particularly with exposure to real-world trading environments. Preference will be given to candidates with experience in major financial markets, including the US, India, Hong Kong, Korea, or Japan, as familiarity with these markets brings a valuable perspective.
  • Strong Logical Thinking:A demonstrated ability to independently manage research projects, dissect complex problems, and deliver well-structured solutions efficiently and effectively.

If you are motivated by the prospect of tackling complex challenges using data-driven decision-making, we strongly encourage you to apply for this exciting opportunity.

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