Internship Quantitative Risk Consultant

Descripción del puesto:

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your Role And Responsibilities

We are seeking motivated students or recent graduates with a strong quantitative background for an internship to support the development and validation of risk models in the banking and insurance sectors (credit, market, ALM, actuarial). The ideal candidates are proactive learners with 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 contribution will support IBM and its clients globally, bringing innovation into enterprise systems. You will have access to the latest education, tools and technology, and a dedicated growth path within the world's technology leader company.

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

As Quantitative Risk Intern, we are looking for candidates with the following background and skills:

* Quantitative modeling, statistics, stochastic calculus, risk analysis
* Advanced statistics, probability, and inference
* Risk theory, stochastic models, Monte Carlo simulation
* Intermediate knowledge of English language
* Good interpersonal and communication skills
* Strong proficiency in programming languages such as Python, Matlab and/or R, VBA
* Plus: Academic knowledge or interest in Quantum Computing (e.g., Qiskit)
* Plus: University coursework on risk models (e.g., VaR, Expected Shortfall, stress testing)
* Plus: Basic knowledge of regulatory frameworks (Basel III/IV, CRR, Solvency II)
* Plus: Thesis or project experience on machine learning applied to risk
* Plus: Participation in quantitative challenges, hackathons, or extracurricular activities
* Plus: Basic competencies about relational and/or no-SQL databases

Preferred Technical And Professional Experience

* Exposure to Visual Design Tools: Familiarity with 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: Academic or project experience in leveraging research insights to create emotional connections with users, and developing visual experiences that resonate with diverse audiences.
* Brand Design Language: Basic understanding of developing and maintaining a brand's design language, ensuring visual consistency and unity in the overall experience