Quantitative Researcher - HFT

IMC; Hong Kong; Presencial; HKD 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

IMC is a research-driven trading firm seeking experienced quant researchers to develop high-frequency delta-one strategies and predictive models for the APAC markets.

You will work with traders, software and hardware developers to transform research into production results, leveraging machine learning and statistics to gain an edge in execution across global markets.

Formación

• 3+ years in high-frequency equities or futures alpha research.
• Strong foundation in probability and statistics with practical ML experience.
• Experience with large, high-frequency trading datasets.
• Excellent programming skills in Python.

Responsabilidades

• Generate alpha signals rapidly and testably.
• Refine understanding of market microstructure and order book dynamics.
• Apply statistical and ML techniques with focus on robustness and avoiding overfitting.
• Collaborate with traders and engineers to productionize research into strategies.

Conocimientos

Python

Statistics

Machine Learning

Data analysis

Educación

Master's or PhD in a quantitative field

Herramientas

SQL

Pandas

Descripción del empleo

IMC 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 them impact our production results. IMC 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 alpha signals
• Refine and leverage deep understanding of market microstructure and order book dynamics, to create powerful features
• Apply statistical and machine learning techniques with strong discipline around robustness and overfitting
• Collaborate closely with trading and engineering teams to translate research into production strategies

Your Skills and Experience:

• 3+ years of experience in high-frequency equities or futures alpha research, ideally with prior track record in at least one of the Asia markets
• Strong foundation in probability and statistics, and significant practical experience with at least one mainstream ML approach
• Experience working with large, high-frequency trading datasets
• Excellent programming skills in at least one language (Python preferred)
• Practical mindset with a focus on deployable, real-world edge

About Us

IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.