Responsible for independently coding for analytics and complex modeling projects. Leads efforts in Python implementation of new models, analytic processes or system approaches. Participates in building out strategic model development infrastructure using Python and PySparc. Creates documentation for all activities and may work with technology staff in design of any system to run models developed. Incumbents possess excellent analytic/ quantitative and Python programming skills and are able to influence strategic direction and software design, as well as develop tactical plans.

Required Skills:

• Graduate degree in quantitative or STEM discipline (e.g. Mathematics, Economics, Engineering, Finance, Physics)
• 10+ years professional experience in model implementation or statistical work or data analytics or quantitative research
• 5+ years experience in programming in Python and PySpark
• 5+ year’s experience in developing on Hadoop/HIVE
• 5+ year’s experience in developing with JIRA and Git
• 3+ year’s experience in writing technical documentation and functional specs for software implementation
• Strong analytical and problem-solving skills
• Strong Software engineering skills and focus on using good software development practices
• Strategic thinker that can use technical skills to solve business problems

Desired Skills:

• Experience designing, developing, and applying scalable Machine Learning and Artificial Intelligence solutions
• Experience with LaTeX
• Experience with R
• Experience with engineering complex, multifaceted processes that span across teams; Able to document process steps, inputs, outputs, requirements, identify gaps and improve workflow