PTR Global

Senior Quantitative Analytics

⭐ - 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.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
600
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πŸ—“οΈ - Date
May 5, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
McLean, VA
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🧠 - 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 Master’s 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