Software Engineer - Risk Analytics Testing

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Software Engineer, Risk Analytics Testing WHAT MAKES US, US Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to SimCorp! At its foundation, SimCorp is guided by our values - caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development, relationship building, and client success. We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered. If you like what we're saying, keep reading! WHY THIS ROLE IS IMPORTANT TO US As financial markets continue to evolve, the accuracy and reliability of risk analytics become increasingly important for our clients. To support our continued global growth, we are looking for a Software Engineer with strong financial domain knowledge to join our Quality Assurance team. In this role, you will contribute to the quality and reliability of our Multi-Asset Class Risk Analytics platform by validating complex financial calculations, testing analytical models, and ensuring the correctness of valuation methodologies across a wide range of financial instruments. You will work closely with quantitative researchers, developers, product managers, and clients in an international and highly collaborative environment. This position offers an excellent opportunity to deepen your knowledge of financial analytics, risk modelling, and modern software development practices while contributing to solutions used by leading financial institutions worldwide. WHAT YOU WILL BE RESPONSIBLE FOR In your daily work, you will collaborate with your team to: Test and ensure the functionality and accuracy of the Multi-Asset Class Risk Analytics platform Verify valuation and risk analytics calculations for various asset classes, including Equities, Fixed Income products, Derivatives, and Exotic Instruments Collaborate with product, quantitative research, and development teams to validate new features, methodologies, and analytical models Investigate, reproduce, and analyze issues reported by clients related to quantitative calculations and analytics results Design and execute test plans, regression tests, in-sprint testing activities, and exploratory testing Ensure the quality, consistency, and reliability of analytical outputs across different environments and datasets Estimate testing efforts and effectively manage assigned tasks and priorities Communicate testing progress, risks, and findings clearly to stakeholders and management Work with large and complex financial datasets to validate business logic and analytical accuracy Contribute ideas and improvements to enhance testing processes, automation, and product quality Follow Agile/Scrum development methodologies and actively participate in team ceremonies WHAT WE VALUE Most importantly, we value curiosity, collaboration, analytical thinking, and a willingness to learn. We understand that candidates may come from different educational and professional backgrounds, and we encourage applications from individuals who are eager to grow within the role. We expect you to have experience in several of the following areas and an interest in developing further expertise in the rest: Bachelor's degree in Finance, Financial Engineering, Mathematics, Computer Science, or a related field 3+ years of experience in the financial services or risk analytics domain Understanding of risk modelling techniques, including factor models, time-series methodologies, and asset pricing concepts Knowledge of valuation principles for multiple asset classes Strong analytical and problem-solving skills Excellent written and verbal communication skills Ability to work with large and complex datasets Experience testing financial or analytical software solutions Familiarity with software development lifecycle and QA processes Additional Valuable Skills FRM or CFA certification (completed or in progress) Experience working with a variety of financial instruments and asset classes Understanding of Performance Attribution methodologies Programming experience in Python, R, or .NET Experience working with SQL and relational databases Familiarity with REST APIs and tools such as Postman Experience with Unix/Linux environments and shell scripting Exposure to Agile/Scrum development methodologies

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