Quantitative Researcher and Developer (f/m/d)

LGT – Private Banking und Asset Management; Zürich; Vor Ort; CHF 100’000 - 150’000; Vollzeit

Zusammenfassung

A leading company in private banking and asset management seeks an experienced professional with a strong background in statistics, data science, and finance to develop quantitative investment solutions. The ideal candidate will possess robust Python skills and a commitment to teamwork and integrity. This role offers the opportunity to work on diverse projects in a collaborative environment.

Qualifikationen

• Professional experience of at least 3 years in systematic investing or QIS space.
• Fluent in English, both written and spoken.
• Strong quantitative finance skills with financial time series data.

Aufgaben

• Develop data-driven quantitative investment solutions.
• Work on robust portfolio optimisation and investment strategies.
• Promote team culture and maintain a professional spirit.

Kenntnisse

Statistics

Data science

Finance

Python

Data management pipelines

Machine Learning

Ausbildung

MSc / PhD degree

Tools

SQL

PostgreSQL

Mongo DB

Jobbeschreibung

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.

Job Description

• 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.

Requirements

Necessary experience

• Professional experience of at least 3 years in systematic investing or QIS space

• Superb skills in Python

• 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

• Professional experience with financial time series data analysis and quantitative models.

• Professional experience with quantitative trading and investment strategies.

Communication and language skills

• Fluent in English (both written and spoken), 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.

Contact Information

For further information please do not hesitate to contact us.

LGT Bank (Schweiz) AG

Human Resources

Nicole Bider