Quantitative Researcher - MFT

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.

The Role

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.

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

• 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

Nice to Have

• 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

Benefits

• Collaborative remote work environment that allows you to have a work life balance
• Growth framework that drives fast, continuous improvement
• Opportunity to learn and collaborate with the leadership team
• Exciting team offsites and employee engagement activities
• Competitive compensation and exposure to closely with teams