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Machine Learning Engineer / Quant Developer (C++ & Python) – Global Proprietary Trading Firm – [.]
Our client is a leading global proprietary trading firm with one of the world's strongest quantitative research platforms. They are expanding a specialist team in Hong Kong that develops the machine learning infrastructure powering multiple systematic trading teams globally.
Rather than working on a single trading strategy, you'll build scalable research tools, frameworks and machine learning capabilities that are used by multiple profitable quantitative investment teams across the firm.
This is a rare opportunity to work on cutting-edge machine learning engineering problems in an environment where research directly impacts live trading.
What You'll Do- Build and optimise machine learning and deep learning infrastructure for quantitative research.
- Develop high-performance research frameworks and production-ready tooling.
- Partner closely with quantitative researchers to accelerate model development and experimentation.
- Design scalable data processing and model training pipelines.
- Write performance-critical software in Python and C++.
- Contribute to the architecture of next-generation research platforms used across multiple trading teams.
What We're Looking For
- Strong software engineering fundamentals with excellent coding ability.
- Background in machine learning, deep learning, AI, quantitative research, or research engineering.
- Excellent academic record in Computer Science, Mathematics, Statistics, Physics, Engineering or a related quantitative discipline.
- Typically 2-7 years' experience, although exceptional candidates at any level will be considered.
- Experience from either finance or leading technology companies is welcome.
- Mandarin language skills are highly advantageous.
Why Join
- Join one of the world's most respected proprietary trading firms.
- Work alongside world-class quantitative researchers and engineers.
- Solve challenging machine learning and distributed systems problems at scale.
- Research-driven environment with direct impact on live trading.
- Exceptional compensation and career progression.
- Based in Hong Kong.
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