We are looking for a Quant Desk Lead and Portfolio Manager to lead the systematic quant desk across both funds. This is not a pure research role the person will own the book the research platform execution risk monitoring and P&L.
Systematic quantitative is the largest allocation across our need someone who can bring live strategies validate them properly and move from research to production in weeks not quarters.
Responsibilities
Lead the quant desk and run its book across both funds
Own P&L position sizing execution hedging leverage and exposure within the risk policy
Research build test and deploy systematic strategies into live trading
Own the research platform end to end: data ingestion backtesting execution and live risk monitoring
Set the standard for realistic backtesting including fees funding slippage fills turnover and capacity
Decide what brings the existing statistical arbitrage sleeve live or what should replace it
Report weekly on performance risk and attribution to the CIO and Risk Manager
Requirements
Live track record running market-neutral long-short statistical arbitrage funding arbitrage or cross-exchange arbitrage strategies with real capital
Experience with systematic / code-based trading not only discretionary or long-only strategies
Verifiable performance net of realistic trading costs
Strong understanding of crypto derivatives: perpetual futures funding liquidation dynamics margin and risk
Full-stack ownership from data to execution: strong Python in production not only research notebooks
Ability to assess whether an edge survives turnover fees spreads slippage and capacity constraints
Comfortable being the sole owner of the desk at the outset without a research team behind them
Nice to Have
MSc or PhD in mathematics finance computer science or another STEM field
Portfolio management experience across crypto equities and options
Market-neutral or multi-manager pod experience
Cross-exchange collateral management experience
Familiarity with DeFi market structure tokenized securities AI and robotics equities
What we offer:
Existing infrastructure: multi-exchange data pipelines historical data signal library backtesting engine execution and monitoring on Google Cloud
Licensed fund structure with independent monthly NAV and independent Risk Manager
Self-custody through an MPC wallet
Short decision chain and a fast route from strategy production to live capital
Compensation:
The role combines a competitive fixed component with direct participation in the performance of the book:
Fixed compensation
The PM receives 20% of P&L above an 11% annual hurdle after the desks own costs
The incentive is subject to a high-water mark and loss carry-forward aligning compensation with sustained rather than one-period performance
50% of the performance award is paid on determination with the remaining 50% deferred for twelve months and subject to clawback
We are looking for a Quant Desk Lead and Portfolio Manager to lead the systematic quant desk across both funds. This is not a pure research role the person will own the book the research platform execution risk monitoring and P&L. Systematic quantitative is the largest allocation across our need so...
We are looking for a Quant Desk Lead and Portfolio Manager to lead the systematic quant desk across both funds. This is not a pure research role the person will own the book the research platform execution risk monitoring and P&L.
Systematic quantitative is the largest allocation across our need someone who can bring live strategies validate them properly and move from research to production in weeks not quarters.
Responsibilities
Lead the quant desk and run its book across both funds
Own P&L position sizing execution hedging leverage and exposure within the risk policy
Research build test and deploy systematic strategies into live trading
Own the research platform end to end: data ingestion backtesting execution and live risk monitoring
Set the standard for realistic backtesting including fees funding slippage fills turnover and capacity
Decide what brings the existing statistical arbitrage sleeve live or what should replace it
Report weekly on performance risk and attribution to the CIO and Risk Manager
Requirements
Live track record running market-neutral long-short statistical arbitrage funding arbitrage or cross-exchange arbitrage strategies with real capital
Experience with systematic / code-based trading not only discretionary or long-only strategies
Verifiable performance net of realistic trading costs
Strong understanding of crypto derivatives: perpetual futures funding liquidation dynamics margin and risk
Full-stack ownership from data to execution: strong Python in production not only research notebooks