IntroductionIBM Client Innovation Center is part of the IBM Group and promotes a tailored culture leveraging on dynamism, passion and enthusiasm for new technologies such as Quantum Computing, Cloud, Artificial Intelligence, Internet of Things, S/4 Hana and modern software development techniques leveraging on DevOps and Agile approaches.Our style is unique! All our employees work in a consultancy environment on a variety of exciting projects across a range of Industry domains. Each project has its own unique working environment: this enables our employees to build their experience, skillset and network, within and outside of IBM.The Client Innovation Center offers a unique experience for talented and ambitious graduates and professionals who are keen to build their skills fast involved in challenging, leading-edge projects.Come to IBM and make a global impact!Your Role And ResponsibilitiesWe are selecting recent graduates with a strong quantitative background to support the development and validation of risk models in the banking and insurance sectors (credit, market, ALM, actuarial). The ideal candidates have a solid foundation in statistics, probability, and programming, along with a marked analytical aptitude. We are also interested in profiles that include academic or project experience in Quantum Computing, particularly where it applies to stochastic simulation and portfolio optimization. Your work will power IBM and its clients globally, bringing innovation into enterprise systems. You will have access to the latest education, tools and technology, and a career path with in the world's technology leader company.Preferred EducationBachelor's DegreeRequired Technical And Professional Expertise
Quantitative modeling, statistics, stochastic calculus, risk analysisAdvanced statistics, probability, and inferenceRisk theory, stochastic models, Monte Carlo simulationIntermediate knowledge of English languageGood interpersonal and communication skillsStrong proficiency in programming languages such as Python, Matlab and/or R, VBAPlus: Knowledge or experience in Quantum Computing (e.g., Qiskit)Plus: Experience with risk models (e.g., VaR, Expected Shortfall, stress testing)Plus: Knowledge of regulatory frameworks (Basel III/IV, CRR, Solvency II)Plus: Thesis or project experience on machine learning applied to riskPlus: Participation in quantitative challenges, hackathons, or extracurricular activitiesPlus: competencies about relational and/or no-SQL databases
Preferred Technical And Professional Experience
Advanced Visual Design Tools: Exposure to industry-standard design software and tools, such as those used for creating visual formats, designing for accessibility, and developing visual experiences.Designing for Emotional Connection: Experience with leveraging research insights to create emotional connections with users and the market, and developing visual experiences that resonate with diverse audiences.Brand Design Language: Exposure to developing and maintaining a brand's design language, ensuring visual consistency and unity in the overall experience.
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