KBC Jobsite API header EN %extcust_listingLayout% At KBC Asset Management, financial markets, data, and human expertise come together. As a Quantitative Investment Researcher, you will help further develop our model-driven investment approach.
You will design investment models for areas such as asset allocation, equity and fixed-income selection, portfolio optimization, and risk management. Your research will not remain purely theoretical: strong ideas can directly influence investment decisions and be implemented in real client portfolios.
You will join a diverse and international Quant Research Team and work in small, multidisciplinary teams. This allows you to combine rigorous quantitative research with a strong reality check: does the model also work in practice, and does it deliver measurable added value?
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- Develop and test statistical and quantitative investment models and build prototypes of new ideas.
- Research new investment hypotheses and methodologies and validate them through thorough backtesting.
- Independently identify and source relevant data, from traditional to alternative data sources, while ensuring the quality of both inputs and outputs.
- Investigate anomalies and unexpected results, assessing whether findings are robust, stable, and economically meaningful.
- Monitor existing models, challenge them critically, and propose improvements whenever performance or relevance requires it.
- Explore how statistical techniques and machine learning can generate new insights.
- Evaluate how research results impact portfolio construction and risk allocation.
- Work closely with portfolio managers to translate research into actionable investment solutions, and collaborate with data engineers and data scientists to further implement successful models.
- Present your findings clearly to both technical and non-technical stakeholders.
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- You hold a Master's degree or PhD in a quantitative discipline such as Finance, Econometrics, Mathematics, Statistics, Physics, Engineering, or Computer Science. Experience in machine learning, portfolio construction, quantitative investing, or asset management is considered a strong asset. Familiarity with cloud technologies and modern data platforms is also a plus.
- You possess strong analytical and problem-solving skills, with experience in data analysis and statistical modelling.
- You have solid programming skills, preferably in Python.
- You have a genuine interest in financial markets and investing, and you are eager to understand why certain models or investment signals do or do not work.
- You enjoy collaboration. You share ideas, value different perspectives, and work effectively with portfolio managers, quantitative researchers, and technical specialists.
- You can explain complex analyses clearly and feel comfortable engaging in constructive, content-driven discussions.
- You are critical and curious by nature. You challenge assumptions and are able to distinguish between an interesting result and a truly robust insight.
- You take initiative, work independently, and assume ownership of your projects.
- You combine scientific rigour with pragmatism and always keep in mind how research can contribute to better investment decisions.
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- An excellent onboarding experience, a collaborative culture, and a pleasant working environment.
- Throughout your career at KBC, we encourage continuous personal and professional growth. You will have access to training opportunities to further develop both your technical and interpersonal skills.
- Our offices are easily accessible by public transport. In addition, you can work partly from home if you wish.
- Flexible working hours help you maintain a healthy work-life balance.
- We offer a permanent contract and a competitive salary complemented by an attractive package of fringe benefits. Sounds familiar? Of course, every company says that. What sets KBC apart is our extensive flexible benefits package. There is simply too much to list here, but we would be pleased to discuss the many benefits, large and small, during your interview process.
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At KBC Asset Management, the Quant team gives interns more than a seat at the table—they offer real responsibility from day one. Whether working on sector-specific stock selection models using Python and XGBoost or exploring predictive techniques for extreme market outcomes, interns are trusted contributors and researchers. With colleagues spread across Belgian cities and connected to teams throughout Europe, the experience reflects the strength of KBC’s international platform grounded in its Belgian heritage. The team’s deep expertise and collaborative spirit create the kind of environment where learning and impact go hand in hand.
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