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Quantitative Researcher & Portfolio Manager
Vontobel
SwitzerlandOn Site
Original Job Summary
Quantitative Researcher & Portfolio Manager
Curious how cutting-edge machine learning meets real-world portfolio strategy? Join us in developing and managing systematic multi-asset strategies where research innovation directly informs investment decisions.
Role Overview
This Zurich-based role blends deep research with clear operational impact. You will focus on applying advanced machine learning techniques to financial markets, balancing strategy design with hands-on portfolio management.
Machine Learning Research & Strategy Development (70%)
- Develop and refine systematic multi-asset investment strategies using advanced ML techniques.
- Analyze financial time series, macroeconomic data, and alternative datasets.
- Design, test, and optimize models for forecasting, asset allocation, and risk management.
- Build and maintain scalable, Python-based research infrastructure and data pipelines.
Portfolio Management & Operations (30%)
- Support daily portfolio operations including trade execution and risk monitoring.
- Manage trade lifecycle processes for seamless investment decision implementation.
- Prepare client reporting materials including performance and risk attribution analytics.
- Coordinate with operations, compliance, and custodians to resolve issues.
Requirements
- PhD in Machine Learning, Econometrics, or Finance with a strong ML focus.
- Up to 3 years of relevant research or industry experience.
- Strong knowledge of asset pricing and global markets.
- Expertise in time series analysis, statistical modeling, and advanced ML methods.
- Proficient in Python and data science libraries; familiarity with cloud-based pipelines.
- Experience with portfolio management and trade execution is a plus.
- Excellent analytical skills, attention to detail, and adaptability.
What We Offer
- Top Zurich location with modern collaboration spaces and rooftop terraces.
- Free lunch and a friendly, diverse team environment in an open-office space.
- Latest technology and agile work environment.
- Flat hierarchy with campus-like collaboration and mutual respect.
About Vontobel
At Vontobel, building better futures for our clients and society is our core mission. With over 2,000 professionals globally and a commitment to long-term thinking and sustainability, we value diverse perspectives and encourage talented individuals to apply.
Key skills/competency
- Machine Learning
- Quantitative Research
- Portfolio Management
- Python
- Data Analysis
- Time Series
- Risk Management
- Statistical Modeling
- Cloud Pipelines
- Asset Pricing
How to Get Hired at Vontobel
🎯 Tips for Getting Hired
- Research Vontobel's culture: Understand values and mission from their website.
- Customize your resume: Highlight quant research and ML skills.
- Tailor your cover letter: Emphasize portfolio management experience.
- Prepare for technical interviews: Review Python and ML projects.
📝 Interview Preparation Advice
Technical Preparation
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Review Python data science libraries.
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Study advanced ML techniques and algorithms.
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Practice time series analysis challenges.
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Build sample scalable pipelines.
Behavioral Questions
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Describe a complex project challenge.
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Explain team collaboration experience.
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Discuss decision-making under pressure.
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Share how you handle feedback.