Portfolio Managers

Mercor; Remote; GBP 80,000 - 100,000; Part time

Job summary

A leading AI Lab is seeking experienced Portfolio Managers to collaborate in training AI models for investment decision-making. In this role, candidates will leverage their portfolio management expertise while providing feedback on investment strategies and model performance. With a commitment of 20-30 hours per week, this position offers schedule flexibility and the opportunity to work with top finance professionals. Ideal candidates will have over 8 years of experience and be proficient in financial modeling tools, embracing the challenge of advancing AI in finance.

Benefits

Schedule flexibility

Opportunity to work with leading researchers

Autonomy as an hourly contractor

Qualifications

• 8+ years of experience in portfolio management or asset management.
• Strong understanding of risk analytics and asset allocation.
• Excellent ability to articulate and rationalise investment decisions.

Responsibilities

• Collaborate with AI researchers to train and evaluate AI models.
• Review model outputs for investment reasoning quality.
• Provide expert feedback on strategy design and asset selection.

Skills

Portfolio management

Investment strategy

Risk analytics

Financial modelling tools

Education

Advanced degree in Finance, Economics, Mathematics or CFA/MBA

Tools

Python

Excel

R

MATLAB

Job description

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 optimisation 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.