Quantitative Investment Researcher

il y a 2 semaines


Brussels, Belgique KBC Temps plein

**Contract**:

Permanent

**Work schedule**:

Full-time

**Location**:

Brussels

**Experience level**:

Medior/Experienced (2->5 years)

**What does this job entail?**:
KBC Asset Management manages combined assets of 200 billion euro for clients from Belgium, the Czech Republic, Slovakia, Hungary, Bulgaria and Ireland. In Belgium, we are the market leader in asset management - the result of teamwork and a strong vision.

The team you’ll be joining - the Quant team - is at the very core of an important evolution: the **increasing importance of data and quantitative techniques in the investment management process.**

We have already made considerable progress here. In 2020, we launched the first AI-driven balanced investment fund on the Belgian market. Other projects include robo-advice, quantitative stock screening and econometric models.

Wondering how your skills will help our team?

**What do we expect from you?**:

- Your research skills are vital in finding solutions and arriving at **new insights **that contribute to better returns. How can we optimise a portfolio? How do we use (new) data and quantitative techniques to do it?
- You get to know our models through and through, but always keep a critical eye out. You’re comfortable challenging the status quo.
- You contribute to the transformation to a data-driven culture at KBC Asset Management. Together with the data engineers, you help in setting up new databases for which we guarantee (data) quality.
- You join us in thinking about the operational side of a new management process. You make sure there’s a feedback loop for further improvement.
- You work closely with strategists, analysts, portfolio managers and data scientists. In our vision, that’s the **recipe for profitable investments** going forward.

**Your key strengths?**:

- You have a master’s degree or a PhD- in an area such as econometrics, mathematics, statistics, physics, computer sciences or engineering - and **at least two years of experience** with quantitative research.
- Your **passion for financial markets, data and modelling** has opened you up to innovative AI techniques. You look forward to deepening your knowledge of various techniques to optimise portfolios and implement econometric models.
- You have a talent for **programming** (MATLAB and/or Python).
- You’re familiar with **basic software engineering skills **such as object-oriented programming, version management (GIT), CI/CD and so forth
- You’re naturally competitive and constantly look for ways to improve our models with the aim of generating higher returns on investments.
- You, like your colleagues, enjoy working with others to achieve the best results.
- You understand that the decisions we make as asset managers have a **direct impact** on our clients. Things often need to move quickly: a challenge that speaks to you.
- You have no problem organising your work **efficiently**. This helps you to meet deadlines without sacrificing thoroughness.
- You communicate clearly in **English** and enjoy doing it. You have no problems explaining a complex model in plain language. And if you’re able to do this in Dutch too? Even better

**What can we offer you?**:

- You’re assured of an **excellent onboarding and a pleasant, collegial work atmosphere**. Are you already looking forward to the one-on-one deep dives about our current models?
- Throughout your entire career at KBC, we encourage you to grow as a person and as a professional. You can **follow training courses** in which you further sharpen your** hard and soft skills**.
- Our offices are easily accessible by public transport. You’re also welcome to partly **work from home**.
- **Flexible work hours** help you to balance your work and your private life.
- We offer you a permanent contract and a competitive salary, supplemented by extralegal benefits. Sounds familiar? Of course. It’s what you read in every job description. At KBC, we make a difference with our **extended flex package**. It’s too extensive to go into details here. However, we will happily discuss the various benefits—large and small—at your interview.



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