Data Science /Machine Learning Expert

Description

eToro is the trading and investing platform that empowers users to invest, share and learn. 

We were founded in 2007 with the vision of a world where everyone can trade and invest in a simple and transparent way. We have created an investment platform that is built around collaboration and investor education.

On our platform, users can view other investors’ portfolios and statistics, and interact with them to exchange ideas, discuss strategies and benefit from shared knowledge. We have over 38 million registered users from 75 countries and our platform is available in 20 languages. 

We are a fast growing business with over 1,500 employees across 13 offices around the globe, strategically positioned to serve the needs of users. You can find out more about eToro here.

We are looking for talented individuals with a strong background in data science, machine learning, and financial/investment strategies to join our dynamic Data Science & Machine Learning team. Whether you're passionate about researching and implementing cutting-edge algorithms to power investment strategies or focused on developing robust data infrastructure, this is the opportunity for you.

Responsibilities include:

• Create data-driven features that will integrate into eToro’s key products, including machine-learning models and systematic investment strategies.
• Research, design, implement, and deliver advanced analytics-based algorithms to solve critical business problems.
• Work end-to-end on projects, from data extraction, feature selection, and engineering to model development, evaluation, and iteration.
• Collaborate with R&D teams and business stakeholders to ensure alignment and impact.
• Take ownership of infrastructure development, including creating scalable data pipelines, feature stores, utilities, and backtesting tools.

Requirements

• MSc in Computer Science, Math, Information Management, Electronics Engineering, or related fields (PhD is a strong advantage).
• Previous experience or demonstrated knowledge in finance/investing – Must
• 5+ years of experience in researching and implementing algorithms.
• 2+ years of hands-on experience developing machine learning algorithms and data-driven systems in Python or R.
• Strong programming skills with a deep understanding of machine learning principles (beyond familiarity with packages).
• Strong analytical skills, creative problem-solving, and a system-level understanding of complex challenges.
• Independent thinker with the ability to lead problem definition and solution design.
• Excellent communication skills and the ability to simplify complex technical concepts.
• Experience with Big Data systems is a plus.
• Research ability is highly valued.
• High proficiency in English.