Data Scientist

Description: Job Title: Data Scientist Location: McLean, VA (Onsite) (Only local candidates with ID) Type: Contract Job Description: Our client is currently seeking a Quantitative Analytics Professional to be responsible for the development and execution of statistical models and applications in support of business and risk decisions as a member of the Multifamily Modeling Team. This role is critical to advancing client’s mission of Making Home Possible by developing robust and interpretable models for Multifamily portfolio risk management. Our Impact: Our team develops robust, scalable models that support the Multifamily business by enabling critical, data-driven risk decisions. Our team is responsible for developing loss forecasting and other business models. Your Impact: • As a Data Scientist, 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’s 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. Qualifications: • 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 Keys to Success in this Role: • Exceptional quantitative and analytics skills • Strong knowledge of statistical models, tools and techniques • Strong programming skills • Strong communication skills