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swissQuant

Quant Engineer – Capital Market Technologies

swissQuant

Quant Engineer role at swissQuant Group involves developing quantitative models and IT infrastructure. Engaging with clients and stakeholders to deliver high-quality solutions in a dynamic environment.

Posted 5/23/2026full-timeZürich • 🇨🇭 SwitzerlandMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
JavaPythonWeb3

About the role

Key responsibilities & impact
  • Responsibility for researching, developing and maintaining quantitative models and associated IT infrastructure
  • Design, build and deliver robust and production quality models and code within a unified library
  • Assist with the systematic review and on-going assessment of existing models
  • Liaise with senior stakeholders to ensure that the model meets their requirements
  • Deliver high quality documentation and presentations to support and maintain model and library use
  • Work on the development of cutting-edge methodologies and technologies for major international clients
  • Engage and participate in all phases of transformation of a quantitative idea into a final product or service, from the Proof-of-Concept to client deliverables
  • Facilitate and challenge discussion of modelling options with senior stakeholders
  • Communication and explanation of model results to stakeholders

Requirements

What you’ll need
  • Post graduate degree in a highly quantitative discipline
  • Excellent communication skills. Fluency in English, German is a plus
  • Able to deliver to tight deadlines on quantitative projects
  • Able to work in a highly dynamic environment
  • Python (preferred), R or MATLAB advanced proficiency (Java is a plus)
  • Good understanding of statistical and econometric modelling techniques – e.g. time series analysis, regression models and various estimation techniques, machine learning
  • Preferred PhD in a highly quantitative discipline
  • Experience in designing and developing statistical and econometric and machine learning models
  • Experience in analyzing large volumes of data including cleaning and subsequent pattern identification and clustering
  • Knowledge of financial markets and products
  • Experience with trading software (Murex, Front Arena, FIS)
  • Experience with Digital Assets (Tokens, Blockchain, Web3)

Benefits

Comp & perks
  • Room for growth
  • High level of personal responsibility

ATS Keywords

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Hard Skills & Tools
PythonRMATLABstatistical modellingeconometric modellingmachine learningtime series analysisregression modelsdata analysispattern identification
Soft Skills
communication skillsability to deliver to tight deadlinesability to work in a dynamic environmentstakeholder engagementpresentation skillsdocumentation skillscollaborationcritical thinkingproblem-solvingfacilitation
Certifications
post graduate degreePhD