Quantitative Rotation Associate (must sit 2 days in either 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. Quantitative Rotation Associate 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. Primary Duties & 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. Job Specifications Basic Education And Prior Work-Related Experience Degree Requirement: Bachelor's Degree or Equivalent Experience Work Experience: No prior work-related experience Additional Qualifications 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. Preferred Education Level Masters Degree Other Qualifications, Including Any Special Skills, Capabilities, And Competencies 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 Why You Should Work With Us Competitive Compensation: anticipated base salary from $56,000 to $86,000 based on skills and experience. This position is eligible to participate in an annual incentive program. Rest and Relaxation: This role is eligible for 20 days of paid time off annually, which is prorated in the year of hire based on hire date. In addition, based on your hire date, you will be eligible for 9 paid holidays plus 2 floating holidays. Parental leave is also offered as an opportunity for all new parents to embrace this exciting change in their lives. Our Company Makes an Impact: We’ve been recognized by multiple organizations like Bloomberg’s Gender-Equality Index, HousingWire’s Tech 100, and The Forum of Executive Women’s Champion of Board Diversity. Radian has also pledged to SHRM’s CEO Action for Inclusion & Diversity commitment. Comprehensive Health Benefits: Multiple medical plan choices, including HSA and FSA options, dental, vision, and basic life insurance. Prepare for your Future: 401(k) with a top of market company match; immediately vested. Opportunity to participate in Radian’s Employee Stock Purchase Plan (ESPP). Homebuyer Perks: Our Homebuyer Perks program helps employees navigate the home searching, buying, selling, and refinancing processes and provides valuable financial benefits to encourage, enable, and support home ownership. EEO Statement Radian complies with all applicable federal, state, and local laws prohibiting discrimination in employment. All qualified applicants will receive consideration for employment without regard to gender, age, race, color, religious creed, marital status, gender identity, sexual orientation, national origin, ethnicity, ancestry, citizenship, genetic information, disability, protected veteran status or any other characteristic protected by applicable federal, state, or local law. An applicant’s criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. The material duties include those listed in the Primary Duties & Responsibilities section above, as well as the ability to adhere to Company policies, exercise sound judgment, effectively manage stressful situations, work safely and respectfully with others, exhibit trustworthiness, and safeguard confidential information belonging to the Company and its customers. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr Radian Group Inc.