Data Scientist – Banking and Finance

Avecco; Zürich; Vor Ort; CHF 100’000 - 130’000; Vollzeit

Zusammenfassung

A leading banking and finance company in Zurich is seeking an experienced Data Scientist to manage datasets, design data models, and develop predictive analytics. Ideal candidates will hold a Master’s in a STEM field and possess expert skills in Python/R, data visualization, and machine learning, while also being familiar with the commodities trading environment.

Qualifikationen

• Master’s degree in a STEM field (Statistics, Technology, Engineering, Math).
• Expertise in SQL/NoSQL databases and data scraping.
• Proven ability to translate business problems into machine learning models.

Aufgaben

• Identify and collect relevant datasets with Analysts and Traders.
• Manage new and existing datasets and design explanatory data models.
• Conceptualize financial drivers of commodity markets and create trading strategies.

Kenntnisse

Data scraping

Data wrangling

Statistical knowledge

Machine learning techniques

Data visualization

Quantitative programming

Ausbildung

Master’s degree in a STEM field

Tools

Python

R

Power BI

AWS

Azure

Google Cloud

Jobbeschreibung

For our client, a Banking and Finance company based in Zurich, we are looking for an experienced Data Scientist.

Main Responsibilities:

Identify and collect relevant datasets along with Analysts and Traders

Manage new and existing datasets

Design and upkeep explanatory data models

Produce predictive models and maintain forecasts

Design and evaluate trading strategies in commodity markets

Conceptualize financial drivers of commodity markets and translate them into quantitative trading systems using advanced analytics including machine learning techniques

Analyze cross commodity correlations and portfolio dependency/performance in different macro environments

Manage the coordination with IT and infrastructure teams to ensure best practices are utilized

Qualifications:

Master’s degree in a STEM field (Statistics, Technology, Engineering and Math)

Fluency in data (scraping, SQL/NoSQL databases, data wrangling, etc.)

Expert data visualization skills with Power BI, Python/R, etc.

Deep statistical knowledge and understanding of analytical and machine-learning techniques

Proven ability to translate real business problems into statistical/machine learning models

Expert quantitative programming skills in Python and/or R

Exposure to commodities trading environment

Deep understanding of financial time series

Experience with cloud platforms (AWS, Azure, Google Cloud)

Experience with source control

Apply for this opportunity

Abbreviation *

First Name *

Last name *

Email *

Phone number *

Country of residence *

City of residence *

Fluent/Well-Spoken Languages *

• English
• German
• French
• Italian
• Spanish
• Portuguese
• Russian
• Chinese
• Japanese
• Korean
• Arabic
• Hindi
• Other

Education (Select all applicable) *

• High-School
• Bachelor
• Master of Science
• MBA
• Ph. D
• Other

Years of experience *

Which of these fields do you have experience with or a solid knowledge of?

• Big Data
• Computer Vision
• Electrical Engineering
• Machine Learning
• Mechanical Engineering
• Mobile App Development
• Natural Language Processing
• Safety Engineering
• Software Development
• Traditional Data Analytics & Forecasting
• Web Development

If Other, please specify

What programming languages do you have a solid knowledge of?

• .NET
• ActionScript
• Ada
• Assembly
• Avaloq Script
• Bash
• BASIC
• C
• C#
• C++
• C/AL
• Clojure
• CSS
• D
• Eifel
• Elixir
• Erlang
• F#
• Fortan
• Golang
• Groovy
• Haskell
• Haxe
• HTML
• Java
• Javascript
• JSON
• Julia
• Lisp
• Lua
• Mathematica
• MATLAB
• Pascal
• Perl
• PHP
• PLC
• Python
• QtScript
• R
• Racket
• Ruby
• Rust
• Scala
• Smalltalk
• SPARQL
• SQL
• SystemVerilog
• T-SQL
• Tcl
• TypeScript
• UML
• VBA
• VHDL
• XML
• Other (Not specified in the list)

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