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 roleStrong foundation in statistics, probability, econometrics, and financial mathematicsProficiency 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 applicationsUnderstanding of derivatives pricing (options, futures, swaps) and risk metrics like VaR, Greeks, etcAbility to work with large, high-frequency datasets and extract meaningful insightsExcellent communication skills to explain technical concepts to non-technical stakeholdersDegree in Quantitative Finance, Mathematics, Statistics, Computer Science, or Engineering, advanced degrees (MSc/PhD) are a plusDesirable 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
