Data Scientist Senior

Our Client, a Real Estate and Financial Services company, is looking for a Data Scientist Senior for their McLean, VA location.


Responsibilities:

• As a Data Scientist at client, you will join a group of skilled professionals who use data science to solve important business problems.
• Developing analytical methods and models about the collateral underlying the mortgages in client portfolio.
• Conducting research on enhancements to the existing models, and applying industry standard processes and techniques to meet various business needs.
• Providing innovative, detailed and practical solutions to an extensive range of demanding and complicated problems.
• Implementing statistical models in efficient software languages, coding model prototypes for specification and test cases, modifying source codes in the existing application.
• Coordinating the testing through the model implementation, conducting back tests to monitor the model performance, and performing economic tests and stress tests to validate the model forecast results.
• Providing modeling and analytical support to a line of business or product area, functioning as day-to-day technical specialist.
• Preparing documentation for the technical analytics and rationale through the model development to comply with model oversight and support model review for approval.
• Working under limited direction, independently resolving and developing approach to solutions.

• Master degree with 0-2 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 are not limited to-SAS, Python, R, SQL, and MATLAB
• Experience working with large data sets and relational database
• Experience in statistical model development and implementation is preferred
• Experience with software development and system setup for model application is preferred
• Exceptional quantitative and analytics skills
• Strong knowledge of statistical models, tools and techniques
• Strong programming skills
• Strong communication skills
• Experience with modeling- with at least 3 years of experience model testing and model development. Candidate must have a quantitative degree- master's degree required but Doctorate is preferred.

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities