Quantitative Engineer

Position: Quantitative Engineer (Testing, Automation & Model Validation) Location: Reston, VA & Plano, TX - Hybrid - Weekly 3 days onsite Duration: Long Term MUST HAVE: • Python Development • AWS Cloud Services • Finance / Mortgage Job Description: Quantitative Engineer (Testing, Automation & Model Validation) We are seeking a Quantitative Engineer for a contract position with strong expertise in testing, automation, and quantitative analysis to join the MFCW application team. The ideal candidate will have hands-on experience with AWS cloud services, Python development, and a solid understanding of software testing methodologies combined with quantitative modeling principles. This role involves designing and implementing automated test frameworks, validating complex models, generating test cases, performing functional and regression testing, and maintaining comprehensive documentation to ensure accuracy and reliability of analytical systems. \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ Responsibilities • Automated Testing & Frameworks Design, develop, and maintain automated test scripts and frameworks for regression and performance testing of quantitative models and applications. • Test Case Generation & Execution Generate detailed test cases based on functional requirements, model specifications, and quantitative assumptions. • Model Vetting & Validation Perform rigorous testing of financial and analytical models, including sensitivity analysis, back-testing, and stress testing in AWS environments. • Data Setup & Simulation Prepare datasets and execute model runs in AWS for validation and scenario analysis. • Defect Resolution & Optimization Collaborate with development and modeling teams to identify, troubleshoot, and resolve defects in model logic and automation workflows. • Documentation & Governance Document test plans, validation results, and maintain compliance with model governance standards. • Continuous Improvement Enhance and optimize existing test automation processes, ensuring scalability and reproducibility. • Cloud Integration Utilize AWS services (EC2, S3, Lambda) for deployment, testing environments, and automation pipelines. • Quality Assurance Ensure code quality and testing rigor through best practices and continuous integration. \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ Required Skills & Qualifications • Education: Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, or related discipline. Minimum 8+ years of experience in software testing, automation, or quantitative engineering. • Programming: Strong proficiency in Python for development and automation. Exposure to Java and R is desirable. • Cloud Expertise: Hands-on experience with AWS services (EC2, S3, Lambda) and cloud-based testing environments. • Testing Expertise: o Ability to design and execute unit tests, integration tests, regression tests, and model validation tests. o Experience in creating and managing test cases and documentation. • Automation: Knowledge of test automation frameworks and tools (e.g., PyTest, Selenium, or similar). Familiarity with microservices and distributed systems is a plus. • Quantitative Analysis: Understanding of statistical testing, model risk concepts, and performance metrics for analytical models. • Version Control & CI/CD: Familiarity with Git and continuous integration/deployment pipelines. • Soft Skills: Strong analytical and problem-solving skills, excellent communication, and documentation abilities.