Portfolio Manager

Mercor is hiring on behalf of a frontier AI investment lab pioneering the integration of machine learning, data analytics, and active portfolio management. The Lab blends quantitative research, fundamental analysis, and AI-powered modeling to identify market inefficiencies and consistently generate alpha. We’re seeking an experienced Portfolio Manager to lead investment strategy design, portfolio construction, and risk oversight within this cutting-edge environment where AI and human judgment converge.

Role Overview

As Portfolio Manager, you’ll be responsible for developing, executing, and managing investment strategies supported by advanced AI tools and a world-class research team. This is a remote, flexible opportunity (20–30 hrs/week) suited for experienced PMs who want to leverage AI-driven insights while maintaining autonomy and work-life balance.

Responsibilities

• Design and execute portfolio strategies that integrate both fundamental and AI-generated insights.

• Manage portfolio construction, optimization, and risk analytics to ensure consistent performance.

• Monitor and analyze portfolio attribution, exposures, and performance metrics across asset classes.

• Collaborate with data scientists and engineers to refine quantitative models and signals.

• Lead and mentor analysts, fostering a culture of analytical rigor and innovation.

• Communicate investment outlooks, performance updates, and strategy rationale to stakeholders.

Qualifications

• 8+ years of experience in investment management, including 5+ years as a lead or co-Portfolio Manager.

• Proven track record of alpha generation and strong risk-adjusted performance.

• Expertise in portfolio optimization, asset allocation, and factor analysis.

• Skilled in Bloomberg, FactSet, and portfolio analytics tools; familiarity with Python, R, or quant methods preferred.

• Exceptional leadership and communication skills; collaborative, data-driven mindset.

• CFA, MBA, or equivalent quantitative background strongly preferred.

Why Join

• Flexible, 20–30 hour/week schedule — ideal for experienced PMs seeking high-impact, part-time engagement.

• Gain exposure to AI-assisted investing, working alongside engineers, quants, and researchers.

• Help shape next-generation portfolio strategies that blend human intuition with machine intelligence.

• Work remotely with a global, fast-moving team driving innovation at the intersection of finance and frontier technology.

• Opportunity to mentor emerging analysts and influence how AI transforms asset management.