Quantitative Analyst

Job Overview

Work across data, modeling, and communication to build models, analyze trends, support underwriting and product teams, and present insights to senior stakeholders. Collaborate with actuaries and business partners to translate analytical results into practical guidance and drive a data-driven culture.

Responsibilities

• Build, validate, and maintain statistical and machine learning models using tools like XGBoost and related libraries.
• Explore and analyze large datasets using SQL and Python.
• Create clear and compelling visualizations using seaborn, matplotlib, and other tools.
• Build executive-ready presentations in PowerPoint to walk teams through results and recommendations.
• Support production deployment of models with clean documentation and reproducible workflows.
• Work closely with actuaries and business partners to translate analytical results into practical guidance.
• Help drive a data-driven culture within the organization.

Qualifications

• Strong foundation in statistics, predictive modeling, and feature engineering.
• Hands-on experience with Python and common ML libraries (XGBoost, scikit-learn, pandas, numpy).
• Solid SQL skills for querying and wrangling data.
• Experience creating visualizations with seaborn, matplotlib, or similar tools.
• Strong presentation and communication skills, especially when explaining technical topics to actuaries and business stakeholders.
• Proficiency with Excel and PowerPoint.
• Ability to work independently and manage multiple projects.
• Bachelor’s or Master’s in Statistics, Data Science, Mathematics, Actuarial Science, Computer Science, or a related field; equivalent practical experience is also considered.