Quantitative Analyst (Macro Equity)

Role Overview

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We are seeking a skilled Quantitative Analyst that wants to partner closely with an equity macro-focused Portfolio Manager. The portfolio develops high-conviction macro themes and implements them via equity swaps, thematic baskets, ETFs, index products, and options. This is a hybrid quant and markets role – not a pure research silo. The ideal candidate wants to move beyond standalone research and sit alongside a PM with direct impact on live capital.

Key Responsibilities

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• Translate macro views into investable equity exposures, stress test those ideas in real-time, and help shape portfolio construction
• Build dashboards and visualization tools of market-intelligence, high-frequency macro, sentiment, and alternative data to support or challenge the PM’s discretionary views
• Develop and maintain tools, analytics dashboard, and infrastructure for the team
• Build models for thematic signal generation
• Conduct scenario analysis, backtesting and trade structuring exercises
• Drive efficiency in the team’s processes using AI technology when suitable
• Ad hoc projects as they come up (i.e. short squeeze analysis, P\&L factor attributions)

Qualifications

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• Candidate must have the technical toolkit of a top-tier quant but is genuinely excited about market narratives, thematic investing, and discretionary macro
• Ability to manipulate and interact with equity data, knowledge of equity factors are a plus
• Strong programming skills in Python (pandas, NumPy, statsmodels), SQL, and data visualization
• Strong communication skills and willingness to collaborate in a small, high-trust team environment
• Candidate is prepared to eventually think in terms of investable narratives – not just numbers
• Bachelors or Masters degree in a quantitative field such as computer science, financial engineering, mathematics or statistics
• 1-3 years of work experience