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The Associate Portfolio Manager will work with Portfolio Managers to manage portfolios, validate investment signals, analyze portfolio performance, and contribute to research projects.

Provide associate-level support to the US Sales team: act as primary client contact for inquiries, maintain CRM and reporting, coordinate onboarding, RFP/DDQ, portfolio reviews, roadshows, subscription/redemption processes, commercial agreements, and compliance-related client restrictions and attestations.

Build and maintain Python data pipelines and portfolio analytics; develop AI/LLM-powered research tools; implement FastAPI/Flask backends and React frontends; deploy to Kubernetes and manage Airflow DAGs; act as NY technical liaison to portfolio managers and quants; own production stability and incident response.

Responsible for promoting and servicing Man's investment products to US institutional investors. Build client relationships, develop business strategy, and organize events.

The Tax Manager will oversee tax compliance, provide advisory on tax strategies, and manage relationships with tax advisors, ensuring optimized fund tax positions.

Support implementation and day-to-day operations of systematic investment portfolios: launch funds/SMAs, monitor portfolios, manage client flows and production incidents, analyze data (Python/SQL/Pandas), build automation and AI-driven operational tooling, and coordinate cross-functional stakeholders to ensure accurate, resilient trading and portfolio infrastructure.

The role involves operational support for fund finance strategies, managing compliance reporting, developing operational data strategy, and coordinating interdepartmental requests.

The Senior Portfolio Analyst manages portfolio workflows, validates investment strategies, analyzes portfolio construction, and champions risk management ideas, collaborating across teams to solve investment challenges.

The Quantitative Researcher will focus on creating predictive alpha signals, applying ML techniques, and optimizing execution in cash equities. Close collaboration with teams to maximize P&L opportunities is key.

Build and maintain full-stack production systems for Man Direct Lending: data pipelines, analytics, web tools and AI/LLM-powered automation. Work closely with investment teams to integrate, automate and visualise deal workflows using Python, scientific libraries, web frameworks and Kubernetes.