Quantitative Engineer (Testing, Automation & Model Validation) at KMM Technologies, Inc.

Job Description: Quantitative Engineer (Testing Automation & Model Validation) Location: Reston VA preferred Plano TX is an option as well 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: Ability to design and execute unit tests integration tests regression tests and model validation tests. 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. if interested please share profile to Key Skills Python,SOC,Debugging,C/C++,FDA Regulations,Minitab,Technical Writing,GAMP,OS Kernels,Perl,cGMP,Manufacturing Employment Type : Full Time Experience: years Vacancy: 1