Strong knowledge of statistical models, tools and techniques
Strong programming skills
Strong communication skills
Required Qualifications
Master degree with 3-5 years of equivalent work experience, in quantitative finance, statistics, economics or a related quantitative field
Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, or computer programming to large data sets. Qualifying coursework may include—but is not limited to—statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, or Monte Carlo methods
Coursework or work experience writing statistical or optimization programs to develop models and algorithms. Programming languages may include—but is not limited to—SAS, Python, R, SQL, and MATLAB
Experience working with large data sets and relational database
Preferred Qualifications
Experience in statistical model development and implementation is preferred
Experience with software development and system setup for model application is preferred