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Quantitative Model Implementation Expert

  • Full Time, onsite
  • TSR Consulting Services, Inc.
  • On Site, United States of America
Salary undisclosed

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Our client, a leading financial services company is hiring a Quantitative Model Implementation Expert on a long-term contract basis.
Job ID 82272

Work Location:
Remote
Summary:
The Quantitative Model Implementation Expert has significant experience in model implementation, with strong technical, quantitative, and analytical skills. Developed communication skills required in order to negotiate collaboration with other team members.
Responsibilities:
  • Develop and enforce best practices for model implementations
  • Construct standardized approaches, like functions, classes, and libraries, for implementing various models
  • Code and implement a series of interconnected models in an IT platform
  • Serve as an expert resource to more junior developers and help ensure model code is standardized, efficient, and well documented

Required Skills:
  • 5+ years of post-PhD work experience, or 7+ years of post-Master's work experience
  • Strong understanding of quantitative modeling approaches (particularly OLS and time series), obtained through model development experience at a peer financial institution.
  • Extensive, hands-on experience developing standardized implementation approaches and implementing models using standardized approaches
  • Experience implementing interconnected models, where the output of one model is used as the input to another model
  • Proficient in Python
  • Some understanding of economic concepts is useful
  • Self-motivated and detail oriented
  • Demonstrated project management and organizational skills and capability to handle multiple projects at one time

Education:
Master's degree required, Ph.D. preferred

Pay: $76-$98 per hour.

The post appeared first on .
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job
Our client, a leading financial services company is hiring a Quantitative Model Implementation Expert on a long-term contract basis.
Job ID 82272

Work Location:
Remote
Summary:
The Quantitative Model Implementation Expert has significant experience in model implementation, with strong technical, quantitative, and analytical skills. Developed communication skills required in order to negotiate collaboration with other team members.
Responsibilities:
  • Develop and enforce best practices for model implementations
  • Construct standardized approaches, like functions, classes, and libraries, for implementing various models
  • Code and implement a series of interconnected models in an IT platform
  • Serve as an expert resource to more junior developers and help ensure model code is standardized, efficient, and well documented

Required Skills:
  • 5+ years of post-PhD work experience, or 7+ years of post-Master's work experience
  • Strong understanding of quantitative modeling approaches (particularly OLS and time series), obtained through model development experience at a peer financial institution.
  • Extensive, hands-on experience developing standardized implementation approaches and implementing models using standardized approaches
  • Experience implementing interconnected models, where the output of one model is used as the input to another model
  • Proficient in Python
  • Some understanding of economic concepts is useful
  • Self-motivated and detail oriented
  • Demonstrated project management and organizational skills and capability to handle multiple projects at one time

Education:
Master's degree required, Ph.D. preferred

Pay: $76-$98 per hour.

The post appeared first on .
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job