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

Category
Graduates/Trainees
Workload
Full Time (≥ 80%)
Posted on

About us

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.

Your challenge

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.

Your profile

  • 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.

Benefits at LGT

A great place to work – a great place to have impact: LGT promotes diversity among its employees. We believe that an inclusive and appreciative corporate culture is the driver for a great workplace and provides the opportunity to create a unique and successful team. That's why our employees can also benefit from many additional benefits.

Family & Work:

  • Various flexible work models  
  • Sabbatical 
  • At least 25 days annual leave, depending on age
  • Special paid leave options  
  • Maternity and paternity leave, options for further parental leave

Your Health:

  • Employee health and wellbeing program  
  • Subsidized classes (yoga, fitness) 
  • Healthy meal options 
  • Fresh fruit supplied daily  

Growing Together:

  • Internal courses 
  • External courses offered by the Liechtenstein Academy 
  • Support for external training and further education 
  • Coaching and mentoring programs 
  • International assignments 
  • Intrapreneurship program  

Perks & Advantages:

  • Discounts on LGT banking products and services 
  • LGT co-investments 
  • Discounts on health and property insurance  
  • Pension plan with individualized options 
  • Various mobility/e-mobility initiatives  
  • Recognition of major life events  

Do you feel addressed? Then simply fill out the online application. We look forward to getting to know you.

Contact

Nicole Bider

Nicole Bider

HR Recruiter
LGT Bank (Schweiz) AG

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Transparency is important to us. That is why you will find everything that matters to us on our website – plus everything you should know about us before you meet us in person, open an account or apply for a job. That includes, for example, the history of the Princely Family, which is closely intertwined with our own.

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