Quantitative Rotation Associate (must sit 2… at Radian · New York

Summary: Radian Group is a trusted, global multi-line specialty insurer that helps businesses navigate risk with confidence. The Quantitative Rotation Associate role is designed for early-career professionals to develop strong analytical skills through hands-on rotational assignments across quantitative analytics, focusing on data-driven decision-making and modeling. Responsibilities: - Build, test, and improve analytical models using structured data and, when appropriate, unstructured data - Translate business questions into clear analysis plans and deliver accurate, usable results - Partner with business and technical stakeholders to define requirements and measure success (e.g., accuracy, stability, business impact) - Develop predictive models and machine learning approaches that could support underwriting, pricing, risk evaluation, or equity compensation - Support data quality, documentation, and versioning to ensure analyses and models are reusable and trusted - Develop dashboards, reports, or analytical tools that enable better decision‑making - Communicate findings in plain language to both technical and non‑technical audiences - Adhere to model governance, data privacy, and responsible AI standards as required - Perform other duties as assigned or apparent Required Qualifications: - Bachelor's Degree or Equivalent Experience - Bachelor's degree (must be completed no later than May or June 2026) in a quantitative or related field, such as: Data Science, Statistics, Mathematics, Computer Science, Actuarial Science, Economics, Operations Research, Industrial Engineering, or a similar discipline - No prior work-related experience - Internship, co‑op, or applied research experience using data to solve real‑world problems - Demonstrated proficiency in at least one of the following: Python, R, SQL, Power BI, Tableau (or equivalent) - Comfort working with large datasets and clearly explaining analytical findings - Familiarity with machine learning or AI techniques such as predictive modeling, natural language processing, or classification models - Strong interest in rotating across teams and rapidly learning new business domains - Demonstrated analytical curiosity and problem-solving ability Preferred Qualifications: - Masters Degree - Master's degree (completed no later than May or June 2026 or in progress during the evenings) in a quantitative discipline - Experience with one or more of the following: Machine learning (supervised or unsupervised), forecasting, optimization - Data modeling (feature engineering, dimensional modeling, schema design) - Model validation concepts (testing, bias assessment, performance monitoring) - Familiarity with AI and analytics tooling (e.g., notebooks, ML pipelines, evaluation frameworks) - Experience presenting insights to non‑technical audiences Required Skills: Python, R, SQL, Power BI, Tableau, Machine learning, Predictive modeling, Natural language processing, Classification models, Data modeling, Feature engineering, Dimensional modeling, Schema design, Model validation, Forecasting, Optimization, Data science, Statistics, Mathematics, Computer science, Actuarial science, Economics, Operations research, Industrial engineering, Analytical curiosity Benefits: 20 days of paid time off annually, 9 paid holidays + 2 floating holidays, Parental leave, Comprehensive Health Benefits, 401(k) with a top of market company match, Employee Stock Purchase Plan (ESPP), Homebuyer Perks