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.
Benefits What We Offer
- 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.
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