Quantitative Development Analyst Intern (f/m/d), temporary for one year Zurich (CH)

LGT is the world’s largest family-owned and managed Private Banking and Asset Management Group. For more than 100 years it has been fully owned and managed by the Princely House of Liechtenstein, which is also one of our biggest clients.
With around 600 employees, LGT Bank Switzerland has established itself as a renowned Swiss private bank and is an excellent address for both wealthy private clients and employees - this was also confirmed last year by the independent institute "Great Place To Work", which awarded LGT Bank Switzerland the title of one of the best employers in Switzerland.

We are seeking a talented Quantitative Development Analyst Intern with knowledge in Statistics, Data Science, Finance, and Python to join our team. The ideal candidate will assist in the research and development of data-driven quantitative investment solutions and thrive in a collaborative environment.

Key responsibilities encompass:

• Work on various projects including systematic macro strategies, Machine Learning for alternative data, robust portfolio optimization, and equity and fixed income factors.

• Develop and enhance quantitative models using Python.

• Conduct time series analysis and apply Machine Learning algorithms to financial data.

• Analyze financial time series data and quantitative models.

• Collaborate on quantitative trading and investment strategies.

• Strong skills in Python programming.
• Proficiency in Statistics, Data Science, and Machine Learning techniques.
• Basic understanding of financial markets and experience with financial time series data analysis and quantitative models.
• Interest in quantitative trading and investment strategies.
• Fluent in English (both written and spoken) for effective communication with diverse clientele and colleagues.
• Energetic, hard-working, and self-motivated individual with a collaborative spirit and a growth mindset.
• Act with integrity and honesty, promoting a positive and respectful team culture.
• MSc or PhD degree (or close to completion) in Statistics, Data Science, Finance, Machine Learning or a related field.

Please note that we cannot consider applications via recruitment agencies for this position.