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

Compensation Range: $130K - $170K