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Delta Exchange is a leading digital asset derivatives exchange founded in 2018, serving both retail and institutional clients with high-performance trading in Bitcoin, Ethereum, and other altcoins. The platform offers futures, options, and innovative derivatives products with up to 100x leverage, backed by enterprise-grade security and deep liquidity.
The Quantitative Researcher role focuses on developing advanced models, analyzing crypto markets, and generating insights that power trading strategies and risk management in derivatives. You will work in a collaborative remote environment with the trading, product, and leadership teams to drive alpha in volatile markets.
Key responsibilities include:
- Research and develop quantitative models to identify trading opportunities in crypto derivatives and spot markets
- Conduct statistical and econometric analysis on large, complex financial datasets
- Build and maintain pricing, risk, and forecasting models for derivatives products
- Work closely with trading and product teams to test, validate, and implement models in production
- Leverage programming and data science tools to design and backtest systematic trading strategies
- Monitor and improve existing models for performance, robustness, and market adaptability
- Prepare research reports and communicate insights effectively to leadership and trading desks
Requirements:
- 5–8 years of experience in quantitative research, trading, financial engineering, or a related role
- Strong foundation in statistics, probability, econometrics, and financial mathematics
- Proficiency in Python, R, or MATLAB; SQL and big data familiarity is a plus
- Experience in time-series analysis, stochastic modelling, or machine learning for financial applications
- Understanding of derivatives pricing (options, futures, swaps) and risk metrics like VaR, Greeks, etc.
- Ability to work with large, high-frequency datasets and extract meaningful insights
- Excellent communication skills to explain technical concepts to non-technical stakeholders
- Degree in Quantitative Finance, Mathematics, Statistics, Computer Science, or Engineering; advanced degrees (MSc/PhD) are a plus
Desirable skills include prior experience in crypto or digital assets, exposure to algorithmic trading systems and execution strategies, familiarity with C++ or Java for performance-heavy model implementations, and knowledge of global financial markets and macroeconomic indicators.
