Quantitative Researcher (f/m/d) Zurich

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 800 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.

• You have deep knowledge and professional experience in Statistics, Data science, Finance, and Python for research and development of data-driven quantitative investment solutions.
• You will be working on various projects, including robust portfolio optimisation, systematic macro strategies, managed futures strategies, equity and fixed income factors.
• You are a team player, driven for improvement, being helpful to others, and maintaining and promoting team culture, professional spirit and knowledge.

Necessary experience

• Professional experience of at least 2 years in systematic investing or QIS space
• Research and implementation of equity factor models either for alpha generation or for risk framework
• Superb skills in Python
• Research experience including writing academic publications
• Data management pipelines including SQL, PostgreSQL, Mongo DB
• Academic and professional exposure to Statistics, Data Science, and Machine Learning, Time series analysis
• Solid understanding of financial markets and analysis of financial data

Quantitative finance skills

• Detail oriented with quantitative models and outputs.
• Professional experience with financial time series data analysis and quantitative models.
• Professional experience with quantitative trading and investment strategies.

Communication and language skills

• English at a professional level (German is a plus), enabling seamless communication with diverse clientele and colleagues.

Personal qualities

• Energetic, hard-working, and self-motivated individual with a collaborative spirit and a dedication to teamwork with a growth mindset
• Act with integrity and honesty.  Espouse a positive and respectful team spirit/ collaboration within and across teams or organizational units.  Adhere to regulatory and company guidelines and regulations at all times. 

Qualifications

• MSc / PhD degree

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