Portfolio Manager, Cross-Asset Multi-Strategy

AI overview

Lead the design and execution of the Ensemble Strategy, managing capital allocation across multiple asset classes to build a Weather-Proof portfolio optimizing risk and performance.

Job Description

As we expand our footprint from a crypto-native foundation into a sophisticated global multi-asset fund, we are seeking a Portfolio Manager (PM) to lead our top-level capital allocation. You will not just manage a book; you will design and execute the "Ensemble Strategy" that dictates how capital flows between digital assets, traditional macro markets, and emerging prediction venues. Your mission is to engineer a "Weather-Proof" portfolio that extracts idiosyncratic alpha from disparate markets while maintaining a strictly controlled risk profile.

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

  • Experience: 5-10 years in a Quantitative PM or Senior Allocation role at a multi-strat hedge fund, prop shop, or family office.
  • Multi-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.
  • The Stack: Expert proficiency in Python (NumPy, Pandas, PyTorch/TensorFlow) and SQL/KDB+.
  • Quantitative Depth: Mastery of portfolio construction mathematics, including covariance matrix estimation and L^2 regularization.
  • Education: Advanced degree (Masters/PhD) in Mathematics, Physics, Computer Science, or Financial Engineering.

Who You Are

  • The Aggregator: You don't just look for "good trades"; you look for how trades fit together to improve the fund's overall Information Ratio.
  • The Risk-First Thinker: You understand that in a levered multi-asset environment, correlation is the silent killer.
  • The Adaptable Architect: You are comfortable transitioning from the 24/7 volatility of Crypto to the structural nuances of the Commodities curve and the binary outcomes of Prediction Markets.

Kronos Research specializes in cryptocurrency trading, market making, and venture investments, positioning itself as a key player in the digital asset industry.

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