Data Scientist I, MIRS

Radian

Data Scientist developing and validating mortgage credit models for Radian, a global specialty insurer. Analyzing large datasets and credit structures using Python, SAS, R, or C++.

Posted 8/17/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSenior💰 $80,000 - $100,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in programming for model estimation and implementation, with strong analytical skills to evaluate credit risk and performance. Proficient in Python and familiar with SAS and R for data analysis, with a solid foundation in mathematical and statistical methodologies.

Highest-signal resume keywords

Python ProgrammingStatistical AnalysisModel DevelopmentData ManipulationFinancial Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model EstimationCloud-Based ModelingProbability ModelingEconometric UnderstandingData AnalysisAnalytical PresentationsTrend IdentificationCredit Risk AssessmentDelinquency ModelingPrepayment Modeling

Soft Skills

Independent Problem-SolvingTeam CollaborationEffective CommunicationIntellectual CuriosityStrong Work Ethic

Tools & Technologies

SASRC++Cloud FrameworksAnalytical Tools

Certifications & Qualifications

Finance CertificationEconomics CertificationMathematics CertificationStatistics Certification

Industry Keywords

Credit StructuresRisk-Sharing ArrangementsStructured Mortgage ProductsModel Performance AnalysisAnalytical Methods Research

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

Perform programming supporting model estimation, implementation, monitoring, and back testing
Develop and maintain cloud-based modeling frameworks
Analyze standard reporting and model performance
Estimate and design delinquency, default, prepayment, and claim severity models
Conduct model development and methodology research
Create analytical presentations and communicate strategic business findings to management
Analyze and recommend alternative credit structures, risk-sharing arrangements, and non-traditional approaches to credit risk
Manipulate large Python, SAS, or R datasets to identify trends and recommend adjustments to credit and portfolio guidelines
Perform other duties as assigned or apparent

Requirements

What you’ll need

Bachelor’s degree or foreign equivalent and 1 year of experience, or Master’s degree or foreign equivalent and no work experience
Expert mathematical, statistical, and econometric understanding
Understanding of probability modeling
Strong analytical background and ability to make transaction recommendations using sound business judgment
Practical proficiency in Python
Working knowledge of SAS, R, or C++ for data analysis and modeling
Ability to learn financial analysis of structured mortgage products
Strong work ethic and independent problem-solving capabilities
High level of motivation and intellectual curiosity
Ability to work in a team environment
Ability to research and define new analytical methods
Ability to communicate effectively and present results
Certifications in Finance, Economics, Mathematics and/or Statistics

Benefits

Comp & perks

Competitive compensation with anticipated base salary from $80,000 to $100,000
Annual incentive program eligibility
20 days of paid time off annually, prorated in the year of hire
9 paid holidays plus 2 floating holidays
Parental leave
Multiple medical plan choices, including HSA and FSA options
Dental insurance
Vision insurance
Basic life insurance
401(k) with a top-of-market company match
Immediately vested company match
Employee Stock Purchase Plan (ESPP)
Homebuyer Perks program with financial benefits and support for home ownership