Manager, Crypto Portfolio Optimisation

Hong KongHong Kongmid
OtherProject & Program ManagementPortfolio ManagerManager Crypto Portfolio Optimisation
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Quick Summary

Key Responsibilities

Oversee the deployment of capital across the multi-strategies Ensemble Optimisation: Build and maintain quantitative frameworks (Risk Parity, Mean-Variance,

Requirements Summary

5-10 years in a Senior Quantitative Allocation role at a fully systematic multi-strat hedge fund, prop shop, or family office.

Technical Tools
OtherProject & Program ManagementPortfolio ManagerManager Crypto Portfolio Optimisation

We are seeking a Portfolio Manager (PM) to lead our top-level capital allocation for our crypto portfolio. You will not just manage a book; you will design and execute the "Ensemble Strategy" that dictates how capital flows between strategies and emerging 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

~1 min read
  • Dynamic Asset Allocation: Oversee the deployment of capital across the multi-strategies
  • Ensemble Optimisation: 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 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

~1 min read
  • Experience: 5-10 years in a Senior Quantitative Allocation role at a fully systematic multi-strat hedge fund, prop shop, or family office.
  • Multi-Asset Mastery: Proven track record managing risk across different systematic strategies. 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.
  • 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.

Listing Details

Posted
February 9, 2026
First seen
March 26, 2026
Last seen
April 24, 2026

Posting Health

Days active
28
Repost count
0
Trust Level
23%
Scored at
April 24, 2026

Signal breakdown

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Manager, Crypto Portfolio Optimisation