Junior Quant Researcher

vor 2 Monaten


Geneve, Schweiz Squarepoint Vollzeit

**Role: Junior Quant Researcher - Data Science**

Squarepoint is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. We have deep expertise in trading, technology and operations and attribute our success to rigorous scientific research. As a technology and data-driven firm, we design and build our own cutting-edge systems, from high performance trading platforms to large scale data analysis and compute farms. With offices around the globe, we emphasize true, global collaboration by aligning our investment, technology and operations teams functionally around the world.

**Overview of Junior Quant Researcher - Data Science Position**:

- Research statistical techniques such as time-series methods, machine learning and NLP to extract value from data
- Analyze large data sets using advanced statistical and ML methods to identify trading opportunities
- Help to develop statistical and ML based tools and techniques to solve complex data related problems throughout the firm.

**Typical Day of Junior Quant Researcher - Data Science**:

- Primary focus throughout the day is on researching new statistical and ML techniques and exploring datasets
- Discuss and present research results with other researchers
- Deploy and monitor models used to generate trading signals.

**Skill Set Required For Position**:

- Demonstrated ability for doing high quality and rigorous research, along with communicating results to stakeholders.
- Programming proficiency with at least one major programming or scripting language (e.g. python, kdb-q, )
- Strong communication skills and ability to work well with colleagues across multiple regions
- Ability to work well in collaborative and high pace settings, and drive projects to completion in accelerated timelines.



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