Portfolio Managers
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.
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### **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.
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### **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.
- 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.
Apply tot his job
Apply To this Job
• * *
### **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.
- 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.
Apply tot his job
Apply To this Job