Investment Compliance 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 Compliance Co-op, you'll work directly with our Compliance team across investment and trading compliance, regulatory reporting, and data quality, helping ensure the rules the firm operates under are reflected accurately in the systems and processes we use every day. This is a hands-on seat close to the action: you'll test and document system upgrades, support regulatory reviews and certifications, work with data that drives compliance rules, and use automation and AI tools to make recurring processes more reliable and efficient. As you build context, you'll also take ownership of a longer-term project and gain exposure to trading systems, the trade lifecycle, security master data, and Operations workflows.

This opportunity is a great fit for someone who's precise and comfortable diving into the details, enjoys understanding how rules translate into real processes and systems, and brings a data-minded and technically curious approach to problem-solving. You should be comfortable working through documentation, spotting when something doesn't look right, testing assumptions, and using basic technical tools to automate or streamline repeatable work.

Key Responsibilities

Support trading and compliance system upgrades, including writing and r

🎯 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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