Financial Engineering - Internship

O projekcie: 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. This role is responsible for working with Traded Risk Financial Engineering team. This team is responsible for development and maintenance of quantitative library consisting of risk models and methodologies that are under remit of the GRA Traded, Treasury and Operational (TTOP) Risk Analytics team. The role is an internship role in Kraków-based team. WHAT WE OFFER The pay range for this role is 4500 PLN (monthly, gross). - 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. Additional information / About the role (optional) Student internship agreement is applicable to candidates under 30 years of age in accordance with the art 2.1 of the Internship Act dated 17.07.2009. Wymagania: - 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 and React framework. - 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. Codzienne zadania: - Participate in development of quantitative library. - Develop user interfaces using React. - Build REST API for interaction with quantitative models. - Work in Agile environment. - Support creation of technical documentation. - Collaborate with other developers, data analysts and modellers.