Senior Portfolio Manager

Responsibilities

• Portfolio Management& Investment Decision-Making
• Construct and manage a diversified global portfolio across listed equities, equity derivatives, currencies, cryptocurrencies, and related derivatives.
• Translate AI-generated signals and thematic research into executable investment theses with clearly defined risk and return parameters.
• Identify and size positions around AI-driven market dislocations - including industry displacement, valuation regime shifts, and structural supply/demand imbalances.
• Manage portfolio-level exposure across geographies, sectors, and asset classes without constraint, exercising active allocation decisions.
• Oversee derivatives overlays for hedging, yield enhancement, and leveraged directional expression.
• Research & Alpha Generation
• Develop and refine investment frameworks for assessing dislocation opportunities at company, sector, and macro levels driven by AI adoption trends.
• Collaborate closely with quantitative researchers and data scientists to stress-test and interpret proprietary AI model outputs.
• Conduct independent fundamental analysis to complement and challenge systematic signals, maintaining a high bar for conviction.
• Stay ahead of AI developments - model capabilities, deployment cycles, regulatory shifts - and their second-order marketimplications.
• Risk Management
• Own risk at the portfolio level: monitor VaR, factor exposures, liquidity, drawdown, and concentration on a daily basis.
• Implement and maintain disciplined position sizing and stop-loss frameworks.
• Engage proactively with the risk team to identify emerging tail risks and correlation breakdowns.
• Maintain portfolio integrity through volatile or dislocated market environments.
• Collaboration &Leadership
• Work alongside the CIO to shape the fund's overall investment strategy and positioning.
• Provide mentorship and intellectual leadership to junior analysts and associate portfolio managers.
• Communicate clearly with senior stakeholders and investors on portfolio positioning, performance attribution, and outlook.
• Contribute to the ongoing development of the fund's proprietary AI tools, providing practitioner feedback to the technology and research teams.

Requirements

• 25+years of investment management experience, with a minimum of 15+ years as a Portfolio Manager or Lead PM with direct P&L ownership.
• Proven track record of generating consistent risk-adjusted returns in a multi-asset or global macro / equity long-short context.
• Hands-on experience with equity derivatives (options, variance swaps, total return swaps) and currency instruments as both hedging and alpha-generation tools.
• Meaningful exposure to digital assets and ryptocurrency markets - either through direct portfolio management or structured research coverage.
• Experience operating within an unconstrained mandate with latitude for cross-asset allocation decisions.
• Skills & Knowledge
• Deep understanding of how AI and technology adoption cycles affect corporate fundamentals, competitive dynamics, and macro capital flows.
• Ability to read, interpret, and critically evaluate quantitative and AI-generated investment signals - rather than relying on the mas black boxes.
• Strong grasp of portfolio construction theory: factor exposure management, correlation analysis, and tail-risk hedging.
• Proficiency with Bloomberg, risk management platforms(e.g. Axioma, Aladdin, or equivalent), and portfolio analytics tools.
• Familiarity with Python or R for data interrogation and signal evaluation is a strong advantage; willingness to collaborate closely with quant teams is essential.
• Personal Attributes
• High intellectual curiosity and genuine passion for understanding AI's transformative effects on markets and industries.
• Decisive under uncertainty - able to act on incomplete information with disciplined risk controls.
• Collaborative and ego-free: receptive to quantitative inputs and peer challenge while maintaining independent conviction.
• Exceptional communication skills - able to articulate complex theses clearly to both technical and non-technical audiences.
• Operates with the highest standards of integrity and professional conduct.
• Bachelor's degree required in Finance, Economics, Mathematics, Engineering, or a related quantitative discipline.
• CFA charter holder strongly preferred; CAIA, FRM, or advanced degrees (MBA, MSc, PhD) are a plus.

Additional Information

We are seeking an exceptional Senior Portfolio Manager to take ownership of portfolio construction, position management, and risk-adjusted returns across our full investment universe. This is a high-autonomy, high-accountability role for an investor with deep cross-asset expertise, a genuine understanding of AI's impact on capital markets, and the conviction to act on data-driven insights.

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