Quant Researcher – Trading Algorithms & ML (Amsterdam)

Pinely; Amsterdam; Presencial; EUR 90 000 - 150 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

High base salary

Social benefits

Bonus structure

Cutting-edge hardware

Flexible workflow

Tuition reimbursement

Conference sponsorship

Resumo da oferta

Pinely in Amsterdam is seeking a Middle Quantitative Researcher to join one of our trading teams. You will analyze global markets and create profitable trading strategies using advanced statistical models and machine learning.

You will develop and refine trading algorithms, study market microstructure, and work with developers and researchers to implement and optimize strategies while benefiting from a flexible workflow and strong technical support.

Qualificações

• Degree in math, physics, computer science or another quantitative field.
• Proven track record of solving analytical problems.
• Outstanding performance in mathematical competitions or competitive programming contests would be a huge advantage (but not necessary).
• Experience in implementing machine learning algorithms.

Responsabilidades

• Develop trading algorithms using statistical models and machine learning techniques.
• Analyzing high-frequency trading strategies and market microstructure to identify new trading opportunities.
• Collaborating with developers and other researchers to implement and optimize trading strategies.
• Contributing to the improvement of existing trading strategies and assisting senior researchers in quantitative strategy design.

Conhecimentos

Analytical problem solving

Competitive programming

Machine learning experience

Team collaboration

Formação académica

Quantitative degree

Ferramentas

Python

ML libraries

Descrição da oferta de emprego

Pinely in Amsterdam is seeking a Middle Quantitative Researcher to join one of our trading teams. You will analyze global markets and create profitable trading strategies using advanced statistical models and machine learning.

You will develop and refine trading algorithms, study market microstructure, and work with developers and researchers to implement and optimize strategies while benefiting from a flexible workflow and strong technical support.