LumRisk S.A. is an independent provider of state-of-the-art financial risk consolidation and reporting services to institutional clients. Based in Nyon, Switzerland, LumRisk has developed an interactive web-based application that provides detailed risk analysis, reporting, and stress testing on client portfolios, based on full position-level transparency. LumRisk covers the full spectrum of financial instruments from traditional long only and multi-asset investments to complex derivatives, hedge funds, and alternative risk premia. In response to significant growth opportunities, and to speed up our development cycle, LumRisk is current looking to hire for its Madrid (Spain) office a: Junior Quantitative Data Engineer Candidate Profile You are a highly motivated, social, creative but pragmatic individual, with the willingness to learn and evolve in an entrepreneurial setting. LumRisk is an ambitious project and a demanding position in a fast-growing environment offering to take on further responsibilities. Responsibilities: The successful candidate will have a transversal role across LumRisk with key role in the interaction between business and development teams to develop and maintain LumRisk scope of services. The Quantitative Data Engineer will be part of the Data Engineering team reporting to the Head of Risk, Quant and Data Solutions. Her/His tasks and missions will involve: Specify, test and coordinate deployment of quantitative tools. Develop and maintain robust data pipelines to acquire, process, and transform financial data from various sources with a strong emphasis on data quality and integrity. Optimize and enhance existing data processing workflows to ensure efficient computation and reporting of risk metrics. Participate in the testing, validation, and documentation of quantitative models and data processes. Be the main interface between the IT team and Project Sponsors. Experience desired 2 to 5 years of professional experience. Must have skills A strong educational background in a quantitative field such as mathematics, statistics, physics, engineering, or finance Fluent in English and Spanish. Client service oriented. Analytical mindset, attention to details. Excellent communication skills. Advanced SQL and Python programming.