Quantitative Researcher

4 weken geleden

Amsterdam, Nederland Northern Trust Corporation Voltijd

About Northern Trust:

Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889.

Northern Trust is proud to provide innovative financial services and guidance to the world’s most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service.

Role

The Quantitative Researcher will work in the global quantitative strategies team that manages $37bln for clients globally. The key aim is to generate cutting-edge quantitative research with a particular focus on alpha generation and sustainability approaches and integration. 

The individual is responsible for performing all aspects of quantitative research – including idea generation, data acquisition, statistical analysis, and documentation of findings, providing direction to other team members as required. 

The individual is able to distill research findings and communicate them effectively within the organization and externally to clients and prospects. The Quantitative Researcher is able to perform their duties independently the majority of the time, taking occasional guidance as required. The Quantitative Researcher will be based in Amsterdam, and part of the growing International Quant Team.

Major Duties

Conduct empirical research in global financial markets with an emphasis on sustainability (investment) data Apply machine learning and artificial intelligence in creating applied signal research, portfolio construction research, backtesting and risk assessment of (new) investment strategies Identify and develop new investment ideas or opportunities Use sophisticated analytical thought to exercise judgement and identify innovative solutions

Knowledge/Skills

Solid programming ability in languages such as Python, PySpark (MATLAB, R, etc.) Strong knowledge of the established asset pricing and factor anomaly literature Fundamental understanding of sustainability data with the ability to apply them appropriately within an investing context Ability to quickly master new applications and tools in order to evolve the capabilities of the quantitative platform Understanding of AI techniques and skillset to apply them in an investment context

Experience

Master’s degree in finance, economics, data science, mathematics or related field required (PhD is a plus) 5+ years of quantitative research Experience using sustainability data in signal creation or portfolio construction research Experience applying Machine Learning models within an investing context (alternative data is a plus)

Working with Us:

As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas.

Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve Join a workplace with a greater purpose.

We’d love to learn more about how your interests and experience could be a fit with one of the world’s most admired and sustainable companies Build your career with us and apply today. #MadeForGreater

Reasonable accommodation

Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at .

We hope you’re excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people.

Apply today and talk to us about your flexible working requirements and together we can achieve greater.

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