Job description
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.
BenefitsWhat 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.