Equi Dynamic Alpha
About Equi
Equi is a multi-strategy hedge fund and absolute return platform, built to deliver differentiated alpha through a modern, tech-enabled infrastructure. We serve sophisticated investors with institutional-quality access to exceptional managers, and we’re scaling quickly. Our team blends deep investing experience with a product mindset, operating with the speed and ambition of a startup. Position Overview
We are seeking a talented Quantitative Research Analyst/Associate to join our dynamic investment team. This role offers an exciting opportunity to work at the intersection of quantitative finance, systematic strategy development, and portfolio management in a fast-paced startup environment. The successful candidate will play a key role in developing and implementing systematic investment solutions, with a particular focus on tax-efficient strategies for our Fund of Funds platform. Key Responsibilities
Systematic Strategy Development
Design, develop, and implement systematic investment strategies, with primary focus on Systematic Tax Loss Harvesting solutions for our Fund of Funds
Research and backtest quantitative investment models and trading strategies
Optimize strategy parameters and risk-return profiles through rigorous statistical analysis
Risk and Portfolio Modeling
Conduct comprehensive portfolio modeling and risk analysis across all investment strategies
Develop and maintain risk management frameworks and attribution models
Perform scenario analysis, stress testing, and sensitivity analysis on portfolio holdings
Create and maintain risk monitoring dashboards and reporting tools
Ensure compliance with risk limits and investment guidelines
Cross-Functional Collaboration
Partner with investment teams to provide quantitative insights and analytical support
Support content creation initiatives with data-driven research and analysis
Prepare monthly reporting materials, including performance attribution and risk metrics
Collaborate on ad hoc analytical projects as requested by senior management
Communicate complex quantitative concepts to both technical and non-technical stakeholders
Data Management and Technology
Maintain and enhance financial databases and data pipelines
Ensure data quality, accuracy, and accessibility across all quantitative processes
Required Qualifications
Education : Master's degree in Financial Engineering, Mathematics of Finance, Applied Mathematics, Statistics, Computer Science, or related quantitative field
Experience : 2-5 years of hands-on experience in quantitative finance and portfolio management
Programming : Strong proficiency in Python for financial modeling, data analysis, and strategy implementation
Strategy Development : Demonstrated experience with systematic strategy development and implementation
Analytical Skills : Excellent mathematical and analytical problem-solving abilities with strong attention to detail
Data Management : Experience working with financial databases and data management systems
Startup Experience : Previous experience working in a startup or fast-paced, entrepreneurial environment
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Equi is a multi-strategy hedge fund and absolute return platform, built to deliver differentiated alpha through a modern, tech-enabled infrastructure. We serve sophisticated investors with institutional-quality access to exceptional managers, and we’re scaling quickly. Our team blends deep investing experience with a product mindset, operating with the speed and ambition of a startup. Position Overview
We are seeking a talented Quantitative Research Analyst/Associate to join our dynamic investment team. This role offers an exciting opportunity to work at the intersection of quantitative finance, systematic strategy development, and portfolio management in a fast-paced startup environment. The successful candidate will play a key role in developing and implementing systematic investment solutions, with a particular focus on tax-efficient strategies for our Fund of Funds platform. Key Responsibilities
Systematic Strategy Development
Design, develop, and implement systematic investment strategies, with primary focus on Systematic Tax Loss Harvesting solutions for our Fund of Funds
Research and backtest quantitative investment models and trading strategies
Optimize strategy parameters and risk-return profiles through rigorous statistical analysis
Risk and Portfolio Modeling
Conduct comprehensive portfolio modeling and risk analysis across all investment strategies
Develop and maintain risk management frameworks and attribution models
Perform scenario analysis, stress testing, and sensitivity analysis on portfolio holdings
Create and maintain risk monitoring dashboards and reporting tools
Ensure compliance with risk limits and investment guidelines
Cross-Functional Collaboration
Partner with investment teams to provide quantitative insights and analytical support
Support content creation initiatives with data-driven research and analysis
Prepare monthly reporting materials, including performance attribution and risk metrics
Collaborate on ad hoc analytical projects as requested by senior management
Communicate complex quantitative concepts to both technical and non-technical stakeholders
Data Management and Technology
Maintain and enhance financial databases and data pipelines
Ensure data quality, accuracy, and accessibility across all quantitative processes
Required Qualifications
Education : Master's degree in Financial Engineering, Mathematics of Finance, Applied Mathematics, Statistics, Computer Science, or related quantitative field
Experience : 2-5 years of hands-on experience in quantitative finance and portfolio management
Programming : Strong proficiency in Python for financial modeling, data analysis, and strategy implementation
Strategy Development : Demonstrated experience with systematic strategy development and implementation
Analytical Skills : Excellent mathematical and analytical problem-solving abilities with strong attention to detail
Data Management : Experience working with financial databases and data management systems
Startup Experience : Previous experience working in a startup or fast-paced, entrepreneurial environment
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