Data Scientist

Technology Ventures; McLean (VA); On-site; USD 100,000 - 150,000; Full time

Job summary

Technology Ventures is seeking a Quantitative Analytics Tech Lead/Sr in McLean, Virginia. This role focuses on developing and enhancing mortgage prepayment, default, and severity models, ensuring effective valuation and hedging of mortgage products.

The ideal candidate will have a Doctorate degree with extensive experience in statistical modeling, 5+ years of analytics, and programming skills in Python, R, or SAS. Strong knowledge of big data analytics, particularly with Apache Spark and AWS, is crucial for success in this role.

Qualifications

• Doctorate degree plus 3 years of working experience or Master's degree with equivalent 5 years.
• 5+ years of experience applying predictive modeling techniques or data analytics to large datasets.
• Experience in statistical model development and implementation.

Responsibilities

• Develop and enhance mortgage prepayment, default, and severity models for portfolio management.
• Conduct quantitative analysis to support valuation and hedging of mortgage products.
• Test and document models effectively.

Skills

Quantitative analysis

Statistical modeling

Programming in Python

Data analytics

Empirical analysis

Education

Doctorate in statistics, data science, or related field

Tools

Python

R

SAS

Apache Spark

AWS cloud computing

Job description

Role 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.

Must Have Qualifications

• Experience with modelling with at least 3-5 years of experience in 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.

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.