SENIOR PORTFOLIO MANAGER

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.

KEY 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

Experience

•     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.

QUALIFICATIONS

•     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.