Quantitative Strategist (M&A)

Role Overview:

We have partnered with a Tier-1 alternative investment manager looking to hire a Quantitative Strategist for their centralized quant team in Zurich.

Unlike traditional quant roles in banks or hedge funds, this position requires adaptability to work across diverse investment topics, handling imperfect data while navigating governance and regulatory constraints.

The role will also involve working across a broad range of research and modeling initiatives related to asset allocation, portfolio construction & optimization, and balance sheet hedging strategies.

Key Responsibilities:

• M&A:
• Work with large datasets, often incomplete or noisy, to extract meaningful insights for investment decisions
• Analyze potential M&A opportunities from a quantitative perspective, evaluating financial statements, regulatory filings, and strategic fit
• Develop and implement financial models to support acquisition decision-making, including deal structuring, valuation, and risk assessment
• Conduct sensitivity analyses on tax structures, accounting treatments, and risk exposures
• Portfolio & Investment Strategy
• Identify capital efficiencies and investment opportunities through deep analysis of financials and regulatory statements
• Assist in designing hedging solutions for portfolio risks, considering GAAP accounting and financial engineering constraints
• Conduct scenario analysis for market events and their impact on investment strategies.
• Data & Technology
• Utilize Python, SQL, and other programming tools to automate and enhance quantitative analysis.
• Develop internal tools to streamline risk management, investment processes, and M&A / private equity due diligence
• Collaboration & Communication
• Present research findings and quantitative models to senior stakeholders with clear analytical reasoning
• Contribute to a flat, open culture that encourages debate and refinement of ideas

Requirements & Qualifications

• 2-7 years of experience in a data science / quantitative research role, ideally within M&A, private equity, asset allocation, or portfolio construction
• Ability to work with imperfect data, solve complex financial problems, and navigate investment governance constraints
• Fixed income knowledge, with experience in credit or interest rates modelling
• Hands-on programming skills in Python and proficiency with SQL (or ability to become proficient quickly)
• English language skills (written and verbal); additional European languages (Dutch, German, French) are a plus
• Ability to present technical concepts effectively and work with cross-functional teams

Preferred but Not Essential:

• Experience in strategic asset allocation (SAA) or buyout pricing
• Knowledge of insurance investment frameworks is beneficial but not mandatory
• Exposure to regulatory constraints and governance processes in investment decision-making