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Senior Software Engineer - Analytics

Location Pune, India
Posted 18-August-2021
SAS Enterprise Quality (EQ) for Risk and Quantitative Solutions team is seeking qualified domain software development quality engineers that will develop, build and maintain strong analytic automated tests and related frameworks to support the development and release of state-of-the-art computing platform and regulatory compliance solutions in the areas of Credit risk (Basel 2-3, Basel 4, CRD4, CRD5), Regulatory Reporting for EBA Taxonomies all within a CI/CD environment by making use of various open source automation tools and operational technologies like Docker, Jenkins, Git, Gerrit, and Gradle.


Review industry research or regulatory literature to analyze, design, develop, execute, and verify independent test programs, procedures and methodologies used to validate numerical accuracy of implementations.
Write test programs to prepare and explore potentially large, complex data to assess performance of analytical software and ensure the processes are of the highest quality.
Create usage, validation and application-based test plans and related test documentation as required.
Assist in the development, integration, maintenance, and documentation of test automation tools and strategies that will add value to testing cycles.
Interact directly with product marketing managers, industry experts and product developers to test analytical models and solution code during the development life cycle to ensure software quality and delivery of planned functionality.
Assist in selecting methods, techniques, and procedures during the development of analytical software and communicating these decisions through thorough documentation, presentations, or verbal communication with a variety of other teams.
Build experience in testing a specialized area of analytics by participating in professional short courses or conferences.
Review solution/product documentation.
Evaluate fix requests, track specific defects, verify fixes, and work with technical support to respond to customer questions.



Masters degree or higher in a quantitative field (e.g., Mathematics, Statistics, Econometrics);
Minimum 6 years of experience writing software applications and/or testing software systems.
Demonstrated aptitude in one or more programming languages such as Python, SAS, or Java.


Insurance industry expertise.
Familiarity with the Credit Risk (Basel 2-3, Basel 4, CRD4, CRD5) regulation, COREP, FINREP, AE, SBP reporting frameworks.
Demonstrated aptitude for problem solving and debugging of complex software systems; ability to develop creative solutions to complex technical problems.
Excellent written, verbal and interpersonal communication skills.
Ability to think analytically and to effectively communicate problems and fixes with development, peers and management.
Practical experience implementing test automation tools and designing automated test suites;
Excellent working knowledge of Windows and Linux operating systems.
Excellent time management skills with the ability take initiative and adapt to changing testing requirements.
Min 6 to 10 Years.

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