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Portfolio Manager CrossAsset MultiStrategy

Job in Bellows Falls, Windham County, Vermont, 05101, USA
Listing for: Framework Ventures
Full Time position
Listed on 2026-06-25
Job specializations:
  • Finance & Banking
    Portfolio Manager
Salary/Wage Range or Industry Benchmark: 120000 - 200000 USD Yearly USD 120000.00 200000.00 YEAR
Job Description & How to Apply Below

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
  • 5-10 years in a Quantitative PM or Senior Allocation role at a multi-strat hedge fund, prop shop, or family office.
  • Proven track record managing risk across at least three of the five core asset classes.
  • Experience in Prediction Markets (Polymarket, Kalshi) or Event-Driven Trading is a significant plus.
  • Expert proficiency in Python (Num Py, Pandas, PyTorch/Tensor Flow) and SQL/KDB+.
  • Mastery of portfolio construction mathematics, including covariance matrix estimation and L^2 regularization.
  • 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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