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Kronos Research

Portfolio Manager, Cross-Asset Multi-Strategy

5-10 Years

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  • Posted 3 months ago

Job Description

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.

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About Company

Job ID: 140436733

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