Quantitative Rotation Associate; sit in NYC office or Wayne, PA HQ

See yourself at Radian? We see you here.

At Radian, we see you. For the person you are and the potential you hold. That’s why we’ve embraced a new way of working that lets our people across the country be themselves, be their best and be their boldest. Because when each of us is truly seen, each of us gives our best – and at Radian, we’ll give you our best right back.

This role requires you to be in either our NYC office or our Corporate Headquarters in Wayne, PA, for two days per week.

The Quantitative Rotation Program is a multi-year early career development experience designed to develop strong analytical talent through hands on rotational assignments across quantitative analytics (including data science, modeling, and AI enabled decision systems). Participants build practical modeling skills, translate business questions into actionable insights, and partner closely with stakeholders to support data driven decision making across the enterprise. Over the course of the program, participants will work on real business problems, gain exposure to senior leaders, develop technical depth, and learn how analytical insights translate into business decisions.

The program is designed to accelerate early-career professionals into high-impact roles across analytics, risk, and strategy functions. This role is ideal for candidates with a strong quantitative foundation who are eager to learn, apply analytics in real business contexts, and grow into advanced analytical or actuarial roles.

• 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.

Degree Requirement:
Bachelor's Degree or Equivalent Experience

Work Experience:

No prior work-related 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
• 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.

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

• Competitive…