Overview
On Site
Depends on Experience
Contract - Independent
Contract - W2
Contract - 6 Month(s)
Skills
Python
NumPy
pandas
SciPy
stats models
Advanced SQL
AWS
5 years of experience in quantitative modeling
NoSQL
Shell Script
Job Details
Quantitative Data Scientist
6 Months contract - Later hire
Onsite Reston, VA -Hybrid model
Position Description
- An immediate need for a Quantitative Data Scientist to join our team.
- This is an exciting opportunity to work in a fast-paced team environment supporting one of the largest customers.
- We take an innovative approach to supporting our client, working side-by-side in an agile environment using emerging technologies.
- This role is located at a client site in Reston, VA. A hybrid working model is acceptable.
Your future duties and responsibilities
- We are seeking a highly skilled Quantitative Data Scientist to join our team.
- 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, stats models, 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.
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