

PTR Global
Senior Quantitative Analytics
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Quantitative Analytics position, offering a contract length of "unknown" and a pay rate of "unknown." Candidates need a PhD or Master's with 3+ years of experience, strong skills in predictive modeling, programming (Python, R, C++, SQL, SAS), and credit risk models.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
600
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ποΈ - Date
May 5, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
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π - Contract
Unknown
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π - Security
Unknown
-
π - Location detailed
McLean, VA
-
π§ - Skills detailed
#Predictive Modeling #AI (Artificial Intelligence) #R #Programming #SAS #Data Processing #C++ #SQL (Structured Query Language) #Statistics #ML (Machine Learning) #Python
Role description
Your Impact:
β’ Developing analytical methods and models that assess the credit risk of new and existing financial and mortgage products
β’ Providing resolutions to an extensive range of complicated problems; solutions are innovative, thorough, and practicable
β’ Providing modeling and analytical support to a line of business or product area
β’ Working under limited direction, independently determining and developing approach to solutions.
Qualifications:
β’ PhD in economics, finance, statistics, or a related quantitative discipline, or Masterβs degree with 3+ years of relevant experience.
β’ Strong expertise in predictive modeling, econometrics, optimization, machine learning, and/or Monte Carlo simulation methods.
β’ Proficiency in one or more programming languages such as Python, R, C++, SQL, or SAS
β’ Ability to perform independent model development, data processing and cleaning
β’ Demonstrated knowledge of AI tools and technologies, with a strong commitment to continuous learning and staying up-to-date with advancements in artificial intelligence
Keys to Success in this Role:
β’ Training and experience with credit risk models
β’ Collaborative and professional approach working in a team setting
Your Impact:
β’ Developing analytical methods and models that assess the credit risk of new and existing financial and mortgage products
β’ Providing resolutions to an extensive range of complicated problems; solutions are innovative, thorough, and practicable
β’ Providing modeling and analytical support to a line of business or product area
β’ Working under limited direction, independently determining and developing approach to solutions.
Qualifications:
β’ PhD in economics, finance, statistics, or a related quantitative discipline, or Masterβs degree with 3+ years of relevant experience.
β’ Strong expertise in predictive modeling, econometrics, optimization, machine learning, and/or Monte Carlo simulation methods.
β’ Proficiency in one or more programming languages such as Python, R, C++, SQL, or SAS
β’ Ability to perform independent model development, data processing and cleaning
β’ Demonstrated knowledge of AI tools and technologies, with a strong commitment to continuous learning and staying up-to-date with advancements in artificial intelligence
Keys to Success in this Role:
β’ Training and experience with credit risk models
β’ Collaborative and professional approach working in a team setting






