ASSYST is looking for a Statistical Programming Analyst to work for our Client located in Washington, DC.
Our client provides a wide range of data-driven economic analyses and analytics to support rulemaking and policy development; develop cutting-edge, customized risk assessment tools and to inform the public about relevant securities issues through the publication of white papers, working papers, and other research publications.
The primary objective of this project is to develop a platform to analyze security and portfolio-level liquidity metrics in a customized fashion.
This platform will consist of:
The candidate will be required to build Machine Learning Models including Neural Networks or similar approaches, using but not limited to Python Libraries like Keras, TensorFlow, SciKit- Learn, SciPy and Theano, etc.
We are proud to offer a robust benefits package including medical, dental, vision, 401(k) retirement plan, disability insurance, flexible spending accounts and more in order for our employees to maintain a secure work/life balance.
ASSYST is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law.
22866 Shaw Road Sterling, VA, 20166