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Goliath-Partners is recruiting for a confidential ML research hire focused on turning original ML research into live alpha in a top systematic trading environment.
You would own the work from idea to deployment with direct P&L participation, leveraging 2–5 years of applied ML experience and strong Python skills to generate signals that hold up beyond backtests. The package includes a base of $450K and total compensation between $1M and $2M, with sign-on and performance bonuses.
I’m working with a top systematic trading firm on a confidential ML research hire. There’s more I can share in conversation, but the brief is to push beyond traditional quant methods and turn original ML research into live alpha.
You’d own the work from idea to deployment, with direct P&L participation. Ideally, you have 2–5 years of applied ML experience, strong Python skills, and a track record of finding signals that hold up beyond a backtest.
$450K base, expected $1M–$2M total comp, including sign-on and performance bonuses. They can accommodate non-competes up to 12 months for exceptional candidates.