A fast-growing digital asset investment firm is seeking a Quantitative Research Associate to support the development of systematic strategies focused on crypto markets and decentralized finance. The team brings together expertise across quantitative research, engineering, and data science, with a strong emphasis on transparent, risk-aware return generation.

Role Overview
You will join a research-focused team developing systematic trading and allocation strategies across crypto and DeFi markets. Working closely with senior researchers and leadership, you will contribute to areas such as liquidity provision, market-neutral strategies, portfolio construction, and market structure analysis, while also supporting the development of research tools and exploring reinforcement learning applications.

Key Responsibilities

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Conduct data-driven research across crypto and DeFi markets to identify trading opportunities
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Develop, test, and refine systematic strategies, including market-neutral approaches
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Build and enhance backtesting tools and research infrastructure
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Explore applications of machine learning techniques, including reinforcement learning, in trading contexts
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Analyze market behaviour and microstructure to inform strategy design
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Work closely with a distributed team on research initiatives and live strategy improvements

Requirements

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PhD in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Physics, Financial Engineering) with 1-2 years of relevant industry experience
* Must have commercial experience with Machine Learning and/or Deep Learning
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Strong foundation in statistics and mathematical modelling, with exposure to reinforcement learning concepts
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Proficiency in Python and familiarity with ML libraries such as PyTorch or scikit-learn
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Experience in quantitative research or strategy development environments
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Ability to work independently in a remote, research-focused setup
* Hands-on RL experience would be a strong plus.
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Strong communication skills in English

Additional Information

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Fully remote role supporting a Dubai-based organization
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Candidates will be engaged on an independent basis and responsible for their own taxation and benefits arrangements

Employer Ref.: Crypt-ML/RL

Please apply through the Employer.