Portfolio Managers

Mercor; Greater London; Hybrid; GBP 80,000 - 100,000; Part time

Job summary

A leading AI research firm in the UK seeks experienced Portfolio Managers to collaborate with AI researchers in training and improving financial models. Ideal candidates will have over 8 years in portfolio management, a strong grasp of risk analytics, and proficiency in financial modelling tools. Enjoy flexible hours as an hourly contractor, shaping the future of AI in finance.

Benefits

Schedule flexibility

Autonomy in work

Collaboration with top researchers

Qualifications

• 8+ years in portfolio management with a proven record of consistent returns.
• Strong understanding of asset allocation and risk-reward tradeoffs.
• Excellent ability to articulate investment decisions quantitatively.

Responsibilities

• Collaborate with AI researchers to improve AI models for portfolio management.
• Review model outputs for quality and accuracy in investment reasoning.
• Provide feedback on strategy design and market interpretation.

Skills

Portfolio management

Investment strategy

Risk analytics

Financial modelling

Analytical platforms

Education

Advanced degree in Finance, Economics, or Mathematics

CFA / MBA designation

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 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.