Date Of Opening:Sep 16 2025
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- Reston ,VIRGINIA ,US
- Date of Posting : Sep 12 2025
- Contract
Job Title: Quantitative Data Scientist
Location: Reston, VA
Employment Type: Contract
Duration: Long Term
About VLink: Started in 2006 and headquartered in Connecticut, VLink is one of the fastest growing digital technology services and consulting companies. Since its inception, our innovative team members have been solving the most complex business, and IT challenges of our global clients.
Job Description:
Your future duties and responsibilities
We are seeking a highly skilled Quantitative Data Scientist to join our team focused on mortgage and loan risk modeling. This role involves developing and maintaining advanced quantitative models using Python and SQL, optimizing simulations, and working with large-scale datasets in cloud environments. The ideal candidate will have a strong foundation in statistical modeling, financial engineering, and software engineering practices, with the ability to communicate technical insights to both technical and business stakeholders.
Required qualifications to be successful in this role
• Strong proficiency in Python, especially with libraries like NumPy, pandas, SciPy, statsmodels, scikit-learn, and QuantLib.
• Advanced SQL skills for handling large and complex mortgage/loan datasets.
• Experience designing and optimizing Monte Carlo simulations and time-series models.
• Solid understanding of counterparty credit risk, including Potential Future Exposure (PFE) methodologies.
• Familiarity with interest rate modeling, derivative pricing, and macro risk factor models.
• Hands-on experience with AWS services such as S3, Lambda, Batch, Glue, EMR, CloudWatch, IAM, and EC2.
• Competence in software engineering practices including Git, unit testing, CI/CD, and shell scripting.
• Experience working with data lakes, NoSQL systems, and tools like Spark, Hive, and Airflow.
• Strong analytical thinking and attention to detail.
• Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.Minimum 5 years of experience in quantitative modeling, data engineering, or a related field (if holding a Bachelor's degree).
Education:
Bachelor's degree in Business Administration, Information Systems, Computer Science, or a related field.
Employment Practices:
EEO, ADA, FMLA Compliant
VLink is an equal opportunity employer. At VLink, we are committed to embracing diversity, multiculturalism, and inclusion. VLink does not discriminate on the basis of race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. All aspects of employment including the decision to hire, promote, or discharge, will be decided on the basis of qualifications, merit, performance, and business needs.
Location: Reston, VA
Employment Type: Contract
Duration: Long Term
About VLink: Started in 2006 and headquartered in Connecticut, VLink is one of the fastest growing digital technology services and consulting companies. Since its inception, our innovative team members have been solving the most complex business, and IT challenges of our global clients.
Job Description:
Your future duties and responsibilities
We are seeking a highly skilled Quantitative Data Scientist to join our team focused on mortgage and loan risk modeling. This role involves developing and maintaining advanced quantitative models using Python and SQL, optimizing simulations, and working with large-scale datasets in cloud environments. The ideal candidate will have a strong foundation in statistical modeling, financial engineering, and software engineering practices, with the ability to communicate technical insights to both technical and business stakeholders.
Required qualifications to be successful in this role
• Strong proficiency in Python, especially with libraries like NumPy, pandas, SciPy, statsmodels, scikit-learn, and QuantLib.
• Advanced SQL skills for handling large and complex mortgage/loan datasets.
• Experience designing and optimizing Monte Carlo simulations and time-series models.
• Solid understanding of counterparty credit risk, including Potential Future Exposure (PFE) methodologies.
• Familiarity with interest rate modeling, derivative pricing, and macro risk factor models.
• Hands-on experience with AWS services such as S3, Lambda, Batch, Glue, EMR, CloudWatch, IAM, and EC2.
• Competence in software engineering practices including Git, unit testing, CI/CD, and shell scripting.
• Experience working with data lakes, NoSQL systems, and tools like Spark, Hive, and Airflow.
• Strong analytical thinking and attention to detail.
• Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.Minimum 5 years of experience in quantitative modeling, data engineering, or a related field (if holding a Bachelor's degree).
Education:
Bachelor's degree in Business Administration, Information Systems, Computer Science, or a related field.
Employment Practices:
EEO, ADA, FMLA Compliant
VLink is an equal opportunity employer. At VLink, we are committed to embracing diversity, multiculturalism, and inclusion. VLink does not discriminate on the basis of race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. All aspects of employment including the decision to hire, promote, or discharge, will be decided on the basis of qualifications, merit, performance, and business needs.
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