Quantitative Analyst Junior

Zurich  ‐ Onsite
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Description

Quantitative Analyst Junior wanted for our Zurich based client in the finance sector.

Your experience/skills:
  • University Degree/Fresh graduate in Finance, Science, Statistics or Engineering with strong analytical, numerical and problem solving skills
  • Proficiency in R-studio and / or Python software packages on data analytics / text mining along with the ability to understand complex issues and explain them in simple terms
  • Outstanding IT knowledge as well as familiarity with the use of high-performance servers to process data and utilise machine learning algorithms in a timely manner
  • Languages: fluent English both written and spoken


Your tasks:
  • Driving cost and shareholder value optimisation initiatives using innovative AI and pattern recognition techniques, quantitative modelling, and large amount of granular data
  • Importing, analysing and systematically identifying optimisation opportunities with high model accuracy by using machine learning techniques
  • Identifying optimization actions with multi-dimensional value drivers including demand and supply
  • Using high-performance servers in order to process the large amount of data and to utilise machine learning algorithms in a timely manner
  • Ensuring timely delivery of key tasks and milestones


Start: ASAP
Duration: 6MM+
Location: Zurich, Switzerland
Ref.Nr.: BH11337

Does this sound like an interesting and challenging opportunity to you? Then take the next step by sending us your CV as a Word document and a contact telephone number.

Due to work permit restrictions we can unfortunately only consider applications from EU or Swiss citizens as well as current work-permit holders for Switzerland.

Going the extra mile…

New to Switzerland? In case of successful placement, we support you with:
  • All administrative questions
  • Finding an apartment
  • Health - and social insurance
  • Work permit and much more
Start date
08/2017
Duration
6 months
From
RM Group
Published at
01.08.2017
Project ID:
1390217
Contract type
Freelance
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