Quant Researcher (Machine Learning / AI) - Global Fund
Quantitative Researcher / AI Researcher | Systematic Trading (APAC)
About the Role
Our client is looking for a Quantitative Researcher / AI Researcher to join a high-performance systematic trading team.
This role sits at the intersection of machine learning, quantitative research, and trading, focused on developing next-generation models and research frameworks to drive alpha across global markets.
You will work in a research-driven environment with significant autonomy, collaborating closely with researchers, traders, and engineers to explore new ideas and bring them into production.
What You'll Do
Research & Innovation
- Develop novel approaches to predictive modeling, signal generation, and market forecasting
- Explore cutting-edge techniques in machine learning, deep learning, reinforcement learning, and LLM applications
Model Development
- Build, test, and iterate models on large-scale financial and alternative datasets
- Apply rigorous validation frameworks to ensure robustness and scalability
Experimentation Culture
- Design and run structured experiments to evaluate new hypotheses
- Continuously refine research methodologies and improve model performance
Production Impact
- Work closely with traders and engineers to translate research into live trading strategies
- Optimize models for real-world constraints such as latency, cost, and risk
Data & Infrastructure
- Work with high-quality datasets and contribute to research pipelines, tools, and infrastructure
- Improve data efficiency and research velocity through tooling and automation
What We're Looking For
Strong Quant / ML Background
- Degree in Computer Science, Mathematics, Statistics, Physics, or related fields (PhD or top-tier MSc preferred)
Technical Skills
- Strong coding ability in Python (experience with C++ is a plus)
- Hands-on experience with ML frameworks (PyTorch / TensorFlow) and data processing tools
Research Mindset
- Proven ability to formulate problems, test hypotheses, and iterate quickly
- Strong curiosity and willingness to explore unconventional ideas
Data & Modeling Experience
- Experience working with large datasets and building predictive models
- Solid foundation in statistics, optimization, and machine learning
Collaboration & Communication
- Ability to clearly communicate ideas and work effectively in a collaborative environment
FAQs
Congratulations, we understand that taking the time to apply is a big step. When you apply, your details go directly to the consultant who is sourcing talent. Due to demand, we may not get back to all applicants that have applied. However, we always keep your resume and details on file so when we see similar roles or see skillsets that drive growth in organizations, we will always reach out to discuss opportunities.
Yes. Even if this role isn’t a perfect match, applying allows us to understand your expertise and ambitions, ensuring you're on our radar for the right opportunity when it arises.
We also work in several ways, firstly we advertise our roles available on our site, however, often due to confidentiality we may not post all. We also work with clients who are more focused on skills and understanding what is required to future-proof their business.
That's why we recommend registering your resume so you can be considered for roles that have yet to be created.
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