Investment Operations Co-op

🏢 Weissassetmanagement · 📍 Boston, Massachusetts, United States · 💼 onsite

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Position Summary & Responsibilities

About the Firm

Weiss Asset Management is a Boston-based hedge fund managing multi-strategy investment portfolios with approximately $4.5 billion in assets under management, with additional offices in New York, San Francisco, and Hong Kong. Headquartered in Back Bay, Weiss brings together a lean, high-caliber team across Investment and Business functions to run a global, fast-moving investment platform.

About the Role

This is a full-time Spring co-op running from January through June.

As an Investment Operations Co-op, you'll work directly with our Operations team on the processes that keep a hedge fund running day to day, helping ensure trading activity is recorded accurately across our systems and that the data behind the securities and derivatives we trade is clean and reliable. This is a hands-on seat close to the action: you'll support reconciliation of trading activity across systems, work with security and reference data, and identify opportunities to move processes from manual workflows toward more scalable, systematized solutions. As you build context, you'll prototype improvements where useful and work closely with our Software team to translate operational needs into tools and systems that can be built to last.

This opportunity is a great fit for someone who's naturally curious and comfortable diving into the details, enjoys understanding how processes and systems work end to end, and brings a data-minded and systems-oriented approach to problem-solving. You should be comfor

🎯 Candidate Preparation Guide For Weissassetmanagement Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Extreme analytical rigor, mathematical precision, and an absolute obsession with intellectual honesty and data-backed decision-making.

📋 Preparation Priorities (Key Areas to Clarify):

1. Hand-waving through technical or quantitative assumptions without rigorous validation.
2. Arrogance or defensiveness when your thesis or methodology is heavily cross-examined.
3. Lack of direct experience dealing with massive, messy, real-world datasets.

✨ Recommended Role Alignment Hook:

I build robust, quantitative systems by ruthlessly stripping away assumptions and letting the empirical data drive the architecture.

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