What are the responsibilities and job description for the Data Scientist Sr /Quantitative Analytics Tech Lead position at Technology Ventures?
Data Scientist Sr /Quantitative Analytics Tech Lead
Location : 5 days onsite / week McLean, VA
Duration : 6 months contract to Hire
Need local to DC metro area who can do onsite interview.
Must Have Qualifications: Experience with modelling- with at least 3-5 years of experience model testing and model development. Candidates must have a quantitative degree- master s degree required but Doctorate is preferred. The work focuses more on testing and documentation.
Interview Information: Rounds: 2 ROUNDS
Duration: 60 Minuetes|60 Minutes
Interview Type:1st round In Person |2nd round MS Teams - Video
Interview Information: Rounds: 2 ROUNDS
Duration: 60 Minuetes|60 Minutes
Interview Type:1st round In Person |2nd round MS Teams - Video
Position Overview: Quantitative Analytics Tech Lead/Sr 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.
Qualifications:
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 Keys to Success in this Role:
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
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 Keys to Success in this Role:
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