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Global Risk Analytics (GRA) is a global team responsible for development of risk models for broad classes of financial and operational risks at HSBC. We are tasked with setting standards and providing mission-critical, cutting-edge tools to help identify, measure and manage risk, as well as enhance an enterprise-wide compliance across HSBC.
Job Responsibility:
Participate in development of quantitative library
Assist at every stage of model release lifecycle
Work in Agile environment
Support creation of technical documentation
Collaborate with other developers, data analysts and modellers
Requirements:
M.Sc./B.S. candidate/holder in Physics/Mathematics/Computer Science or in related discipline (Quantitative Finance, Economics, Engineering, etc)
Good knowledge of Python programming language
Knowledge of scikit-learn, Streamlit
Familiarity with IT best practices and software development lifecycle
Understanding of mathematical analysis, statistics and linear algebra
Open personality and effective written and oral communication skills in English
What we offer:
3 months paid internship in a professional team and international environment
Flexible working hours
Great start-your-career opportunity
Opportunity for a Full-Time Role
Hands-On Learning
Exposure to senior leadership, access to training sessions, and ongoing mentorship
The opportunity to join a diverse, collaborative environment where your ideas are heard and your contribution matters