Quantitative Analyst Intern

Rho • New York, NY

7d • $20 - $35

About The Position

Rho is seeking a Quantitative Analyst Intern to work on high-impact data projects. The intern will help Rho detect, prevent, and better understand customer behavior, identify churn signals, and map growth opportunities. This role involves designing experiments, building predictive models, extracting insights from unstructured data, and working with large, complex datasets. The intern will collaborate across teams to drive workflow efficiency, improve customer retention, and influence product direction. They will have ownership of their analyses and communicate findings to both technical and non-technical audiences.

Requirements

• Challenging coursework in Computer Science, Mathematics, Statistics, Data Science, or a related quantitative field.
• Project experience in statistics, ML, econometrics, or a related quantitative field.
• Proficient in Python.
• Comfortable with SQL.
• Willing to run a high volume of experiments and work with messy, incomplete data.
• Ability to communicate quantitative work clearly to technical and non-technical stakeholders.

Nice To Haves

• Comfortable with ambiguity.
• Takes ownership and chases down unclear or broken processes.
• Questions assumptions and pressure-tests before trusting.
• Fast learner, picks up new tools, data, and methods quickly and independently.
• High attention to detail.
• Deeply analytical, reasons from data, quantifies claims, and explains reasoning.
• High throughput, prefers running multiple experiments quickly.

Responsibilities

• Design experiments to identify new churn leading indicators and expansion/deposit-growth signals.
• Build predictive models and analyze unstructured data using LLM extraction experiments.
• Develop probabilistic models, including signal-interaction modeling and behavioral clustering.
• Analyze graph and network signals for fundraise-contagion detection and referral clusters.
• Iterate on the Markov Chain for customer health.
• Analyze client responses to churn signals and identify playbook improvements.
• Increase GTM workflow efficiency by analyzing production adoption patterns.
• Communicate quantitative work clearly to technical and non-technical stakeholders.

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed