• Work on various projects including systematic macro strategies, Machine Learning for alternative data, robust portfolio optimization, and equity and fied 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 e
• perience 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 Ph D degree (or close to completion) in Statistics, Data Science, Finance, Machine Learning or a related field.

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

Nicole Bider