Paris / Graduate / Number of vacancies: 5 - Development of normative and non-regulatory models (e.g., regression models, classification models, time series, and Monte Carlo simulations) in the fields of banking, insurance, energy, and telecommunications. - Review and validation of regulatory and non-regulatory models in risk, finance, and other sectors. - Statistical data processing. - Mathematical business support: development of algorithms, statistical, and probability models. - R&D projects. Requirements - Recent graduate or final-year student from disciplines related to Econometrics, Mathematics, Analytics, Business Administration, Mathematical Finance, Quantitative Methods, Financial Mathematics, Physics, etc. - Desirable knowledge of modeling techniques (logit, decision trees, clustering) and statistical programming languages (Python, R, SAS, Matlab). - Solid academic record. - Postgraduate studies and/or specialized courses in Data Analytics, Quantitative Finance, or similar are assets. - Knowledge of other languages, Big Data tools, and cloud services (AWS, Azure, Google) is desirable. - Proactive attitude, maturity, responsibility, and strong work ethic. - Ability to learn quickly. - Ability to integrate easily into multidisciplinary teams. We Offer The best environment to develop talent: Participation in high-profile consulting projects for leading companies. Collaboration with top industry management on national and global challenges. Part of an extraordinary team whose values and culture set industry benchmarks. Additional benefits include: Ongoing training with approximately 10% of business turnover invested in development, including courses and language training. Clear career progression with internal promotion based on merit and a partnership-oriented management model. Strong links with prestigious universities, community support activities, and sports tournaments. For more information about Management Solutions and career opportunities, visit: www.managementsolutions.com Management Solutions is committed to equal opportunities and considers all qualified applicants without discrimination based on race, color, religion, national origin, sex, gender identity, sexual orientation, age, marital status, disability, or any other protected characteristic. #J-18808-Ljbffr