Technology Ventures
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a contract length of "unknown" and a pay rate of "unknown." Requires a master's or doctorate in a quantitative field, 3-5 years of modeling experience, and proficiency in Python, R, or SAS, focusing on mortgage analytics.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 3, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
McLean, VA
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🧠 - Skills detailed
#Programming #Big Data #AWS (Amazon Web Services) #R #Data Science #Datasets #Statistics #Cloud #Research Skills #Spark (Apache Spark) #Python #Apache Spark #Documentation #Predictive Modeling #SAS
Role description
Must Have Qualifications: Experience with modelling- with at least 3-5 years of experience model testing and model development. Candidates must have a quantitative degree- master’s degree required but Doctorate is preferred. The work focuses more on testing and documentation.
Quantitative Analytics Tech Lead/Sr to join the Models & Analytics group to develop and enhance mortgage prepayment, default and severity models for portfolio management. The team is responsible for developing models and conducting quantitative analysis to support valuation and hedging of mortgage products.
Qualifications:
• Doctorate degree plus 3 years of working experience (or Master's degree with equivalent 5 years of working experience) in statistics, data science or a related quantitative field.
• 5+ years of relevant experience applying predictive modeling techniques or data analytics to large datasets is preferred.
• Post-graduate work experience in mortgage valuation and statistical modeling
• Programming skills in one or more of Python, R, SAS or related languages
• Exceptional quantitative, empirical analysis, and research skills
• Experience working with large data sets and relational database
• Experience in statistical model development and implementation is preferred Keys to Success in this Role:
• Exceptional quantitative, empirical analysis, and research skills
• Strong knowledge of survival analysis and mortgage valuation
• Strong programming skills and knowledge in big data analytics such as Apache Spark and AWS cloud computing
Must Have Qualifications: Experience with modelling- with at least 3-5 years of experience model testing and model development. Candidates must have a quantitative degree- master’s degree required but Doctorate is preferred. The work focuses more on testing and documentation.
Quantitative Analytics Tech Lead/Sr to join the Models & Analytics group to develop and enhance mortgage prepayment, default and severity models for portfolio management. The team is responsible for developing models and conducting quantitative analysis to support valuation and hedging of mortgage products.
Qualifications:
• Doctorate degree plus 3 years of working experience (or Master's degree with equivalent 5 years of working experience) in statistics, data science or a related quantitative field.
• 5+ years of relevant experience applying predictive modeling techniques or data analytics to large datasets is preferred.
• Post-graduate work experience in mortgage valuation and statistical modeling
• Programming skills in one or more of Python, R, SAS or related languages
• Exceptional quantitative, empirical analysis, and research skills
• Experience working with large data sets and relational database
• Experience in statistical model development and implementation is preferred Keys to Success in this Role:
• Exceptional quantitative, empirical analysis, and research skills
• Strong knowledge of survival analysis and mortgage valuation
• Strong programming skills and knowledge in big data analytics such as Apache Spark and AWS cloud computing
