Quantitative Researcher (Crypto)

TL;DR

Quantitative Researcher (Crypto/ML): Developing and optimizing systematic trading strategies for crypto spot and derivatives markets with an accent on alpha generation and predictive modeling. Focus on building backtesting frameworks, analyzing large market datasets, and deploying production strategies.

Location: On-site in Dubai, United Arab Emirates

Company

A rapidly growing proprietary trading firm specializing in systematic trading across crypto markets.

What you will do

• Design, develop and backtest quantitative trading strategies.
• Analyse large market datasets to identify alpha opportunities.
• Build predictive models for price movements, volatility and liquidity.
• Research market behaviour using statistical and machine learning techniques.
• Develop research tools, backtesting frameworks and data pipelines.
• Collaborate with traders and software engineers to deploy and optimize production strategies.

Requirements

• Must be based in or work on-site in Dubai, UAE.
• 3+ years of quantitative research experience within a trading firm, hedge fund or research-driven environment.
• MSc or PhD in Mathematics, Statistics, Physics, Computer Science, Financial Engineering or another highly quantitative discipline.
• Strong commercial experience applying machine learning techniques.
• Advanced Python skills, including NumPy, Pandas and scikit-learn, and experience with time-series data.
• Excellent understanding of statistics, probability and mathematical modelling.

Nice to have

• Experience researching crypto markets or knowledge of market microstructure and order flow analysis.
• Experience with large-scale data processing technologies.
• Exceptional competitive programming or academic achievements (e.g., Kaggle, IOI, IMO, ACM ICPC).

Culture & Benefits

• High levels of autonomy and ownership over research.
• Access to cutting-edge AI tools and modern research infrastructure.
• International team with regular company workations and team trips.
• Competitive salary and benefits package.
• Flexible working arrangements and genuine work-life balance.