Lead Quantitative Analytics/ Data Scientist
eSolutionsFirst LLC
McLean, United States of America
yesterday
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
McLean, United States of America
Tech stack
Amazon Web Services (AWS)
Big Data
Computer Programming
Relational Databases
R
Python
SAS (Software)
Spark
Model Validation
Data Analytics
Performance Monitor
Job description
Portfolio Analysis
- 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.
Model Governance
- Preparing model documentation and conducting thorough model validation tests.
- Developing on-going performance monitoring and threshold methodology.
Business Support:
- Providing analytics support for trading and hedging activities.
- Working under limited direction, independently determining and developing approach to solutions.
Requirements
- 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
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
- Top 3 Personal Competencies to Possess:
- 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