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Quant Engineer - Capital Market Technologies(m/w/x)
Developing and maintaining quantitative models and IT infrastructure at a quantitative services provider for financial and industrial clients. Post graduate degree in quantitative discipline and proficiency in Python, R, or MATLAB required. Project-based work across diverse financial and industrial sectors.
Requirements
- Post graduate degree in quantitative discipline
- Excellent communication skills
- Ability to meet tight deadlines
- Adaptability in highly dynamic environments
- Proficiency in Python, R, or MATLAB
- Understanding of statistical and econometric modelling
- Knowledge of regression and machine learning
- PhD in a highly quantitative discipline
- Experience developing statistical and ML models
- Experience in large-scale data analysis
- Knowledge of financial markets and products
- Experience with trading software
- Experience with Digital Assets
Tasks
- Research and develop quantitative models
- Maintain quantitative models and IT infrastructure
- Design and build production-quality code
- Review and assess existing models
- Liaise with senior stakeholders on requirements
- Document and present model and library use
- Design and prototype finance-focused models
- Test quantitative models in real-world contexts
- Transform concepts into final client deliverables
- Conduct internal innovation and research tasks
- Challenge and facilitate modelling option discussions
- Gather and document model requirements
- Communicate development progress and escalate risks
- Explain model results to stakeholders
- Convert business objectives into technical solutions
- Analyze data for trends and signals
- Ensure compliance with regulatory and risk standards
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- R
- MATLAB
- Java
- Murex
- Front Arena
- FIS
- Blockchain
- Web3
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Quant Engineer - Capital Market Technologies(m/w/x)
Developing and maintaining quantitative models and IT infrastructure at a quantitative services provider for financial and industrial clients. Post graduate degree in quantitative discipline and proficiency in Python, R, or MATLAB required. Project-based work across diverse financial and industrial sectors.
Requirements
- Post graduate degree in quantitative discipline
- Excellent communication skills
- Ability to meet tight deadlines
- Adaptability in highly dynamic environments
- Proficiency in Python, R, or MATLAB
- Understanding of statistical and econometric modelling
- Knowledge of regression and machine learning
- PhD in a highly quantitative discipline
- Experience developing statistical and ML models
- Experience in large-scale data analysis
- Knowledge of financial markets and products
- Experience with trading software
- Experience with Digital Assets
Tasks
- Research and develop quantitative models
- Maintain quantitative models and IT infrastructure
- Design and build production-quality code
- Review and assess existing models
- Liaise with senior stakeholders on requirements
- Document and present model and library use
- Design and prototype finance-focused models
- Test quantitative models in real-world contexts
- Transform concepts into final client deliverables
- Conduct internal innovation and research tasks
- Challenge and facilitate modelling option discussions
- Gather and document model requirements
- Communicate development progress and escalate risks
- Explain model results to stakeholders
- Convert business objectives into technical solutions
- Analyze data for trends and signals
- Ensure compliance with regulatory and risk standards
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- R
- MATLAB
- Java
- Murex
- Front Arena
- FIS
- Blockchain
- Web3
About the Company
swissQuant Group
Industry
FinancialServices
Description
swissQuant Group provides quantitative services, consultancy, and products for financial and industrial clients.
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