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Quant Engineer – Capital Market Technologies
swissQuant Group provides quantitative services, consultancy, and products for financial and industrial clients, including a number of global Fortune 500 companies. Our business edge originates from the effective translation of Intelligent Technology into measurable, bottom-line client value. swissQuant Group is a privately held company incorporated in 2005 as a spin-off of ETH Zürich.
Your role
As a quant Engineer, you will have responsibility for researching, developing and maintaining quantitative models and associated IT infrastructure. Topics will vary greatly depending on live projects but will mainly revolve around issues in quantitative finance and/or statistical learning (machine learning).
You will
Stakeholder Management / Leadership
Interested? Please upload your cover letter, CV and reference letters in PDF format (please compress in 1 attachment).
Only direct applications are considered
swissQuant is an equal opportunity employer and we are committed to providing a workplace free from discrimination.
Decisions related to hiring are made fairly, and we provide equal employment opportunities to all qualified candidates and employees. All applicants will be considered for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, or disability status
swissQuant Group provides quantitative services, consultancy, and products for financial and industrial clients, including a number of global Fortune 500 companies. Our business edge originates from the effective translation of Intelligent Technology into measurable, bottom-line client value. swissQuant Group is a privately held company incorporated in 2005 as a spin-off of ETH Zürich.
Your role
As a quant Engineer, you will have responsibility for researching, developing and maintaining quantitative models and associated IT infrastructure. Topics will vary greatly depending on live projects but will mainly revolve around issues in quantitative finance and/or statistical learning (machine learning).
You will
- 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 and ensure that they agree with the modelling assumptions and understand the associated risks
- Deliver high quality documentation and presentations to support and maintain model and library use
- You will work on the development of cutting-edge methodologies and technologies for major international clients
Stakeholder Management / Leadership
- Facilitate and challenge discussion of modelling options with senior stakeholders
- Facilitate the gathering and documentation of model requirements
- Communication of model development progress, including attendance at regular working groups and escalation of risk and issues to senior stakeholders
- Communication and explanation of model results to stakeholders
- Ability to convert business objectives into technical modelling solutions
- Data analysis for trends and signal extraction
- Risk and Control Objective
- Ensure that all activities and duties are carried out in full compliance with regulatory requirements, enterprise wide risk mitigation guidance and internal swissQuant policies and standards
- 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
- 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)
Interested? Please upload your cover letter, CV and reference letters in PDF format (please compress in 1 attachment).
Only direct applications are considered
swissQuant is an equal opportunity employer and we are committed to providing a workplace free from discrimination.
Decisions related to hiring are made fairly, and we provide equal employment opportunities to all qualified candidates and employees. All applicants will be considered for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, or disability status
Key Skills
Ranked by relevance
machine learning
prototyping
blockchain
matlab
java
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- Posted
- Jun 04, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Zurich
- Company
- swissQuant
Industries
Financial Services
Categories
Research
Analyst
Information Technology
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