Quantitative Researcher

About Delta Exchange:
Delta Exchange is a leading digital asset derivatives exchange founded in 2018. Backed by renowned investors, Delta offers high-performance trading in Bitcoin, Ethereum, and other altcoins, providing futures, options, and innovative derivatives products with up to 100x leverage. With enterprise-grade security, deep liquidity, and an institutional-grade platform, Delta Exchange serves both retail and institutional clients, accelerating the evolution of the global cryptocurrency financial system.

Position Overview:
Delta Exchange seeks a Quantitative Research Analyst to develop advanced models, analyze crypto markets, and generate insights powering trading strategies and risk management in derivatives. Ideal candidates offer 5-8 years in quantitative research expertise in statistics, time-series analysis, Python/R, and passion for crypto. Join our growing team to drive alpha in volatile markets through backtesting, model deployment, and cross-team collaboration.

Key Responsibilities
● 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 the 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

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 ● 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. ● Knowledge of global financial markets and macroeconomic indicators.