About the company
Kronos Research stands at the forefront of proprietary trading, elevating trading performance through its profound expertise in quantitative research. Driven by a fusion of rigorous research methodologies and advanced machine-learning techniques, we are revolutionizing the way trading is approached. We have 4 main business pillars, i.e. (i) High-Frequency Trading (HFT), particularly in the dynamic landscape of cryptocurrency trading, (ii) market-making, providing the best liquidity across CeFi and DeFi solutions, (iii) asset management services for institutions and brokers covering a wide range of asset classes, and (iv) ventures, identifying high growth potential projects to invest in, provide expertise and drive returns.
Job Summary
Responsibilities
📍Dynamic Asset Allocation: Oversee the deployment of capital across five core sleeves: Crypto, Commodities, FX, Equities, and Prediction Markets. 📍Ensemble Optimization: Build and maintain quantitative frameworks (Risk Parity, Mean-Variance, or Bayesian models) to determine optimal weights based on real-time volatility and correlation. 📍Regime-Based Hedging: Utilize Prediction Markets and FX to hedge tail risks and macro shifts impacting the core Equity and Crypto portfolios. 📍Risk Budgeting: Define and monitor VaR, Stress Tests, and Drawdown limits for individual strategy sleeves. 📍Cross-Asset Research: Identify "Lead-Lag" relationships—e.g., how movement in the US Dollar (DXY) or Treasury yields impacts Crypto liquidity and Commodity pricing.
Requirements
đź“ŤExperience: 5-10 years in a Quantitative PM or Senior Allocation role at a multi-strat hedge fund, prop shop, or family office. đź“ŤMulti-Asset Mastery: Proven track record managing risk across at least three of our five core asset classes. Experience in Prediction Markets (Polymarket, Kalshi) or Event-Driven Trading is a significant plus. đź“ŤThe Stack: Expert proficiency in Python (NumPy, Pandas, PyTorch/TensorFlow) and SQL/KDB+. đź“ŤQuantitative Depth: Mastery of portfolio construction mathematics, including covariance matrix estimation and L^2 regularization. đź“ŤEducation: Advanced degree (Masters/PhD) in Mathematics, Physics, Computer Science, or Financial Engineering.
The future of finance is here — whether you’re interested in blockchain, cryptocurrency, or remote web3 jobs, there’s a perfect role waiting for you.
