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
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Collaborate with AI researchers to train evaluate and improve AI models that simulate portfolio construction optimization and risk management.
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Review and assess model outputs for investment reasoning quality portfolio allocation accuracy and consistency with real-world financial logic.
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Provide expert feedback on strategy design asset selection risk-reward tradeoffs and market interpretation.
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Contribute to the creation of evaluation frameworks that benchmark model performance against established portfolio management principles.
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Participate in synchronous collaboration sessions (4-hour windows 23 times per week) to discuss experiments analyze model outputs and provide structured guidance on investment strategy and decision flow.
Requirements
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8 years of experience in portfolio management investment strategy or asset management with a proven record of delivering consistent returns.
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Strong understanding of risk analytics asset allocation portfolio optimisation and performance attribution.
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Proficiency in financial modelling tools and analytical platforms (Python Excel R or MATLAB) preferred.
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Advanced degree in Finance Economics Mathematics or CFA / MBA designation strongly preferred.
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Excellent ability to articulate and rationalise investment decisions both qualitatively and quantitatively.
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Commitment of 2030 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 2030 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.
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 des...
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 23 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 2030 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 2030 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.
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