HFT Quantitative Researcher

Green Lane Talent Management; Hong Kong; On-site; HKD 1,200,000 - 2,000,000; Full time

Job summary

Green Lane Talent Management’s HK-based client, a market maker, is seeking experienced quant researchers to develop high-frequency delta-one trading strategies and predictive models for the APAC markets. You will perform large-scale data analysis to derive statistically profitable predictions that inform all trading and improvements have a high impact.

You will collaborate with traders, software and hardware developers to test and implement improvements, shaping the direction of research and

Qualifications

• 3+ years’ experience as a Quantitative Researcher or Trader, with HF equities or Futures.
• Graduate & postgraduate study from a top university, majoring in machine learning, statistics, or STEM subjects.
• Strong programming skills in at least one language (Python preferred).

Responsibilities

• Combine creativity and experience to rapidly generate high-quality, testable ideas.
• Use a rigorous and structured process to ensure your results are reliable and well tested.
• Refine and leverage a strong grasp of market dynamics and microstructure to create powerful features.
• Have a solid understanding of statistics, a variety of machine learning approaches, and the risks of overfitting.

Skills

Python

Machine Learning

HF Trading

Education

Top university degree in STEM

Job description

Our client, a HK-based market maker, is looking for experienced quant researchers to develop high-frequency delta-one trading strategies and predictive models for the APAC markets. If you’re excited about helping to push the boundaries of what we can do with Machine Learning in trading, unlocking the significant edges we have in execution, and collaborating to become the best trading firm worldwide, this may be the role for you.

You will be responsible for performing large-scale data analysis to derive statistically profitable predictions of market behaviour. These predictions are used to inform all of our trading, and improvements have a high and visible impact across the office. You will also help to shape the direction we take across research and tooling. We have longstanding and significant edges across market access, global reach, Options understanding and low latency. The rapid growth we’ve already seen in Machine Learning has unlocked these edges, and some of the most interesting and impactful problems are now being tackled.

You will work as part of an established and growing research team, collaborating closely with traders, software and hardware developers to find improvements to our models and see their impact on our production results. The firm competes and wins as a team, with open idea sharing and collaboration across disciplines, desks and offices.

Your Core Responsibilities:

• Combine creativity and experience to rapidly generate high-quality, testable ideas
• Use a rigorous and structured process to ensure your results are reliable and well tested
• Refine and leverage a strong grasp of market dynamics and microstructure to create powerful features
• Have a solid understanding of statistics, a variety of machine learning approaches, and the risks of overfitting

Your Skills and Experience:

• 3+ years’ experience as a Quantitative Researcher or Trader, with specific experience in high-frequency equities or Futures, and a proven track record
• Graduate & Postgraduate study from a top university, majoring in machine learning, statistics, or STEM subjects
• Strong programming skills in at least one language (Python preferred)
• Significant practical experience with at least one mainstream ML approach