Head of Data Products

eToro is the world’s leading social trading network, providing millions of users from around the world a one-stop-shop solution for their trading and investing needs. Since 2007, eToro has positioned itself as a Fintech leader, pioneering revolutionary practices such as social trading and machine-learning-powered investment products.

eToro’s award-winning trading and investing platform is at the forefront of Fintech technology. Our Research and Development department develops cutting-edge technologies, focusing on field-relevant areas, such as blockchain and artificial intelligence. We promote an organizational culture which is both professional and fun.

Join us to build and lead our data organization in a highly dynamic and challenging environment using cutting-edge technologies utilizing one of the most unique and richest financial databases in the world.

What will you be doing?

• Lead eToro’s data strategy, to align with the wider business strategy, and build a state of the art data platform to collect, process and store data, make it accessible to all data-consuming parties, to improve and optimize operations and customer experience
• Work with the company’s stakeholders to identify key business problems and opportunities that can be optimized using our data.
• Work with the company’s BI & ML teams to extract insights, and design and implement data-driven solutions to solve key business problems and generate new business products and revenue streams.
• Design and implement data-driven features that will be integrated into the company’s products

Want to join? If you

• Are passionate about data and building data-driven solutions 
• Are result-oriented, proactive, strategic thinker and innovative problem solver
• Have a proven and successful experience track record of leading high-performing data teams that positively impact business performance (fields of trading/fintech - BIG advantage)
• Have 2+ experience leading a data organization, including BI, Data Engineering and DS (Fintech/Investments/Trading - big advantage)
• Have a solid understanding of building modern data pipelines and modern data architecture on a big data environment
• Have a solid understanding of ML applications and practices
• Have BSc Degree in Computer Science, Information Management or related fields 
• Proficient and experienced with SQL, Python, Scala, Java, C# or others
• Great analytical skills and original thinking
• Good system-level understanding of problems
• Independent and innovative with the ability to lead problem definition and goal definition processes
• Good communication skills
• Fluent English