Mercor is hiring Portfolio Managers on behalf of a leading AI Lab developing models that simulate and optimize real-world investment decision-making. This is a rare opportunity for experienced finance professionals to apply their portfolio management expertise to help train and refine AI systems designed to think and act like world-class investors.
Responsibilities
* Collaborate with AI researchers to train, evaluate, and improve AI models that simulate portfolio construction, optimization, and risk management.
* Review and assess model outputs for investment reasoning quality, portfolio allocation accuracy, and consistency with real-world financial logic.
* Provide expert feedback on strategy design, asset selection, risk-reward tradeoffs, and market interpretation.
* Contribute to the creation of evaluation frameworks that benchmark model performance against established portfolio management principles.
* Participate in synchronous collaboration sessions (4-hour windows, 2–3 times per week) to discuss experiments, analyze model outputs, and provide structured guidance on investment strategy and decision flow.
Requirements
* 8+ years of experience in portfolio management, investment strategy, or asset management, with a proven record of delivering consistent returns.
* Strong understanding of risk analytics, asset allocation, portfolio optimisation, and performance attribution.
* Proficiency in financial modelling tools and analytical platforms (Python, Excel, R, or MATLAB) preferred.
* Advanced degree in Finance, Economics, Mathematics, or CFA / MBA designation strongly preferred.
* Excellent ability to articulate and rationalise investment decisions, both qualitatively and quantitatively.
* Commitment of 20–30 hours per week, including required synchronous collaboration sessions.
Why Join
* Partner with a world-class AI research lab to train models that emulate real investor judgment, portfolio construction, and strategic reasoning.
* Shape the way AI understands financial markets, risk tolerance, and return optimization in dynamic environments.
* Enjoy schedule flexibility — choose your own 4-hour collaboration windows and manage your 20–30 hour work week.
* Be engaged as an hourly contractor through Mercor, giving you autonomy while contributing to groundbreaking financial AI research.
* Collaborate with top researchers, quants, and data scientists, bridging human financial intuition with machine intelligence.
* Join a global network of finance and AI professionals redefining how technology understands and executes investment management.