Portfolio Managers

Mercor; Singapore; Remote; SGD 80,000 - 100,000; Part time

Job summary

A leading financial AI firm in Singapore seeks experienced Portfolio Managers to collaborate with AI researchers on developing investment models. The role offers flexible scheduling with 20-30 hours per week, allowing professionals to contribute to innovative AI solutions while utilizing their portfolio management expertise. Candidates should have over 8 years of relevant experience along with an advanced degree in Finance or related fields.

Benefits

Schedule flexibility

Collaborate with top researchers

Autonomy as an hourly contractor

Qualifications

• 8+ years of experience in portfolio management or asset management.
• Strong understanding of risk analytics and portfolio optimisation.
• Excellent communication skills for investment decision rationalisation.

Responsibilities

• Collaborate with AI researchers to train and improve AI models.
• Assess model outputs for investment reasoning and portfolio accuracy.
• Provide expert feedback on strategy design and asset selection.

Skills

Portfolio management expertise

Risk analytics

Asset allocation

Performance attribution

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.