Portfolio Manager

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

This role involves 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.

Benefits

• 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.

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