Senior Quantitative Researcher, PM Engagement

Overview

In this role you collaborate with equity Portfolio Managers to optimize portfolio construction and investment processes. You develop quantitative models to analyze risk and performance, with a focus on profitability and scalability of equity strategies. You communicate insights effectively to PMs and management, guiding the use of analytics to improve decision-making. The position sits at the crossroads of finance and technology, driving research and tool development to grow the business.

Responsibilities

• Develop and validate models for portfolio analysis, risk attribution, and performance across equity strategies
• Understand and diagnose investment processes; analyze data to extract best practices and opportunities to improve risk-adjusted returns
• Produce data-driven analyses to inform PMs and senior management on risk, construction, and process improvements
• Communicate findings through meetings and documentation to global equity PM teams and business management
• Collaborate with Risk, Data, Product, and Engineering to access data and build tools that enhance profitability and efficiency
• Lead or contribute to complex projects with multiple stakeholders; provide feedback on tool specifications
• Advise PMs on tool usage, analytics concepts, and resources to improve portfolio construction and hedging
• Proactively propose new research ideas and translate them into actionable insights for PMs/biz

Key requirements

• 5+ years of experience in quantitative analysis related to equity Long/Short or alternative equity strategies
• Strong Python skills with time series experience and data management
• SQL proficiency for data access
• Experience with GitHub and software development processes
• Excellent communication and presentation skills; ability to influence and coach PMs
• Advanced degree in sciences/math/quantitative discipline (PhD or Masters) or equivalent practical experience
• Strong understanding of risk, performance attribution, factor models, and investment process
• Ownership mindset and ability to generate/execute ideas to grow the business
• Experience interfacing with risk takers or in risk-taking roles

• strong communication and presentation skills
• ability to influence and coach senior PMs
• ownership and entrepreneurial mindset
• quantitative analysis techniques
• statistical analysis
• time series analysis

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