Full-Time Quantitative Researcher

We are hiring a Quantitative Researcher to join our growing systematic product team. This is a unique opportunity to build and scale quantitative products powered by our library of 70+ proprietary alternative datasets.

As a Quantitative Researcher, you will:

• Develop and enhance systematic strategies that leverage alternative datasets to generate predictive insights and improve investment decision-making.
• Explore and evaluate datasets to identify leading KPIs and statistical signals, with the goal of improving model accuracy (MAPE, correlation, etc.).
• Design and backtest models to validate predictive value and ensure robustness across a range of market conditions.
• Collaborate cross-functionally with product, data, and engineering teams to scale research into production-ready quant products.
• Shape the future of the quant business line by contributing to team strategy and process development at a critical inflection point for YipitData.

This is a remote-friendly opportunity that can be performed from anywhere in the U.S.

You Are Likely To Succeed If:

• A bachelor’s and/or master’s degree in a quantitative field such as Mathematics, Statistics, Finance, Computer Science, Engineering, Physics, or Financial Engineering.
• 4–6 years of relevant experience (minimum 3 years) at a buy-side or sell-side firm.
• A strong analytical toolkit and fluency in statistical modeling, econometrics, and/or machine learning methods.
• Proficiency with Python (preferred), R, or similar tools for quantitative research.
• Experience working with financial and/or alternative data to generate investment insights.
• Deep curiosity about financial markets and a passion for data-driven investing.
• The ability to balance independent research with collaborative execution in a fast-paced environment.

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