Quant Equity Researcher
05-09-2024
Marktconform
Medior
Rotterdam
he Quantitative Research department holds a central position in Robeco's investment organization. It concentrates on developing quantitative investment strategies, either using individual stocks and bonds, or using derivative instruments. The research is centered around exploiting behavioral biases via a systematic approach. Currently, Robeco manages about USD 100 billion assets purely based on quantitative models. Robeco is also committed to helping clients achieve superior investment results with advanced sustainability integration. The research department employs over 20 people with different nationalities and backgrounds. We are recognized as a top global player in quant investing.
Position & Requirements
We have an open position for a quant equity researcher. Within this role, you will
- Contribute to the development of our data-driven algorithmic strategies
- Apply the latest research insights and technology to our quant equity investment process
- Create new IPs and maintain our edge in a highly competitive environment.
Your daily work will have a broad spectrum, from processing (big) data, analyzing various signals, discussing research insights with your colleagues, to presenting results to internal and external clients. You are expected to contribute to our current and future success by generating innovative ideas, applying novel techniques, and getting things done. Within a relatively flat organization, you will be equipped to have direct impact!
You will need:
- 3-8 years relevant working experience
- An advanced degree from a top school in Data Science, Econometrics, Quantitative Finance, Mathematics, Computer Science, Physics, or Engineering
- Highly analytical mindset, capable of thinking critically and identifying patterns.
- Demonstratable programming skills -- Python, and/or any other related language
- Good communication skills. You can explain a complicated issue and give argumentations based on clear logic and intuition.
- A cooperative mentality, willing to take initiative, help colleagues, and achieve collective ambitions and targets.
Bonus points:
- Alpha research focus and experience
- Alternative data focus and experience
- Experience with ML/AI/NLP techniques
- Experience with CI/CD, Apache Spark, Databricks, Docker, and/or Microsoft Azure (as is experience with any other big data tool or cloud service provider)
- Experience with financial datasets or providers such as Factset, Refinitiv, Bloomberg, etc.
