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
Senior

Job 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

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