Data Scientist Specialist

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


Responsibilities:

• Client is seeking a Quantitative Analytics Tech Lead to join the Models & Analytics group to develop and enhance mortgage prepayment, default and severity models for portfolio management.
• The team is responsible for developing models and conducting quantitative analysis to support valuation and hedging of mortgage products.
• The Modeling and Analytics group in Client Investments and Capital Markets division develops financial and statistical models that are used for valuation and risk analytics purposes.
• Client Investments & Capital Markets (I&CM) Division is seeking a Quantitative Analytics Tech Lead to join the Models & Analytics group to develop and enhance mortgage
• prepayment, default and severity models for portfolio management.
• The team is responsible for developing models and conducting quantitative analysis to support valuation and hedging of mortgage products.
• The Modeling and Analytics group in Client Investments and Capital Markets division develops financial and statistical models that are used for valuation and risk analytics purposes.
• The successful candidate will contribute to the development of mortgage valuation model and conduct portfolio analysis to support trading and hedging activities.
• Model Development and Research
• Developing mortgage prepayment, default and severity models that assess market risk of mortgages, mortgage backed securities, and senior-sub structured products
• Applying statistical modeling and big data analytics tools and developing innovative solutions for forecasting mortgage borrower behavior
• Conducting research on industry models, market conditions, and regulatory environment.
• Developing and enhancing valuation processes and risk metrics for our retained portfolio of mortgage products.
• Conducting sensitivity analysis and impact assessment for model updates and changes in model inputs.
• Preparing model documentation and conducting thorough model validation tests.
• Developing on-going performance monitoring and threshold methodology.
• Providing analytics support for trading and hedging activities.
• Working under limited direction, independently determining and developing approach to solutions.

• 10+ years of experience with modelling- with at least 3-5 years of experience model testing and model development.
• Candidate must have a quantitative degree- master's degree required but Doctorate is preferred.
• Doctorate degree plus 3 years of working experience (or Master's degree with equivalent 5 years of working experience) in statistics, data science or a related quantitative field.
• 5+ years of relevant experience applying predictive modeling techniques or data analytics to large datasets is preferred.
• Post-graduate work experience in mortgage valuation and statistical modeling
• Programming skills in one or more of Python, R, SAS or related languages
• Exceptional quantitative, empirical analysis, and research skills
• Experience working with large data sets and relational database
• Experience in statistical model development and implementation is preferred
• Exceptional quantitative, empirical analysis, and research skills
• Strong knowledge of survival analysis and mortgage valuation
• Strong programming skills and knowledge in big data analytics such as Apache Spark and
• AWS cloud computing
• Drive for Execution - Execute effectively with a clear direction and objective, good ownership
• Partnership - Build trust and strong partnerships within the team; good team player
• Leadership - Set and execute upon a clear vision and goals; good communication, interpersonal, and leadership skills

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