Quantitative Analytics Senior
Direct Staffing Inc, Mc Lean, VA, United States
Position Overview
Our company is currently seeking a
Quantitative Analytics Senior
responsible for the creation, development, and execution of analytic models.
Qualifications
PhD in Economics, Statistics, or a directly related quantitative field or MS with at least three years of related post-graduate work experience.
Strong programming skills in statistical programming languages such as SAS, R, and Matlab.
Experience in using complex statistical models such as Generalized Additive Models, transition models, and logistic regression.
Preferred Skills
Exceptional quantitative, empirical analysis, and research skills.
Programming experience with SAS, R, and Matlab.
Experience with competing-risk hazard models and transition-based models.
Good communication, interpersonal, and leadership skills.
Experience working with large data sets.
Closing Statement
Today, our company makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative, and dedicated team and you’ll do important work for the housing finance system and make a difference in the lives of others. We are an equal opportunity and top diversity employer. EOE, M/F/D/V.
Division : Enterprise Risk Mgmt
Experience : 2+ to 5 years
Minimum Education : Doctorate Degree
Additional Information
All your information will be kept confidential according to EEO guidelines.
#J-18808-Ljbffr
Our company is currently seeking a
Quantitative Analytics Senior
responsible for the creation, development, and execution of analytic models.
Qualifications
PhD in Economics, Statistics, or a directly related quantitative field or MS with at least three years of related post-graduate work experience.
Strong programming skills in statistical programming languages such as SAS, R, and Matlab.
Experience in using complex statistical models such as Generalized Additive Models, transition models, and logistic regression.
Preferred Skills
Exceptional quantitative, empirical analysis, and research skills.
Programming experience with SAS, R, and Matlab.
Experience with competing-risk hazard models and transition-based models.
Good communication, interpersonal, and leadership skills.
Experience working with large data sets.
Closing Statement
Today, our company makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative, and dedicated team and you’ll do important work for the housing finance system and make a difference in the lives of others. We are an equal opportunity and top diversity employer. EOE, M/F/D/V.
Division : Enterprise Risk Mgmt
Experience : 2+ to 5 years
Minimum Education : Doctorate Degree
Additional Information
All your information will be kept confidential according to EEO guidelines.
#J-18808-Ljbffr