We reinvent how trading and investing work by creating exceptional products people love.
Fostering a culture of excellence and high velocity is the key to our success.
Тoday, we serve over 5 million clients, with more than €30 billion in assets under management - a testament to the scale and trust we’ve built in just a few years.
What you’ll doAnalyze & Optimize: Dissect existing or define new workflows, implement data-driven improvements, monitor Key Performance Indicators to ensure improvements are achieved and sustained
Structured Problem Solving: Break down complex operational challenges into manageable, logical workstreams to solve problems at their root
Full Ownership: Take accountability for the processes under your stewardship. You aren't just making suggestions; you have a relentless focus on getting things done and monitoring the long-term results
Stakeholder Management: Navigate a fast-paced environment by collaborating with Engineering, Compliance, Customer Success, and Product teams to understand and align key objectives and requirements to realise business value for leadership
What you need to haveStrong analytical and problem-solving mindset.
Basic programming skills (Python, SQL, or similar)
Data visualisation/dashboarding skills (Tableau, Looker, PowerBI or similar)
Ability to document processes clearly and work in a structured way
Curiosity about fintech, financial markets
Familiarity with AI/ML tools for pattern recognition and/or automation
Process improvement certification (Lean Six Sigma)
Project management certification (PMP, PRINCE2)
Prior data engineering experience (ETL pipelines, APIs, cloud data platforms)
Challenges that will help you grow and realise your potential
Opportunity to make a big impact - you will build innovative services used by millions of investors to build wealth
Work with smart, spirited, helpful, high-performing colleagues with a common goal
An environment where nothing is set in stone
Appreciation for your talent and ideas
Generous remuneration package including annual bonuses
Are you ready to accelerate your career with us? We'd love to hear from you!
We process applicant data confidentially and in accordance with applicable data protection laws. We may use AI-powered tools to help review applications, but all hiring decisions are made by our human recruitment team. Where required by law, we rely on your consent to use these tools.
You may withdraw this consent or exercise your data protection rights at any time by contacting us.
Skills Required
- Strong analytical and problem-solving mindset.
- Basic programming skills (Python, SQL, or similar).
- Data visualisation/dashboarding skills (Tableau, Looker, PowerBI or similar).
- Ability to document processes clearly and work in a structured way.
- Curiosity about fintech, financial markets.
- Familiarity with AI/ML tools for pattern recognition and/or automation.
- Process improvement certification (Lean Six Sigma).
- Project management certification (PMP, PRINCE2).
- Prior data engineering experience (ETL pipelines, APIs, cloud data platforms).
What We Do
Our mission is to enable everyone to build wealth. We reinvent how trading and investing work by creating exceptional products people love. Trading 212 is built with passion by highly driven people who strive for excellence and value freedom. Over the past few years, our client base has grown 20 times to over 2 million, and client assets have grown over 50 times to over €3 billion. Trading 212 was founded in 2003 with one simple idea - to make the financial markets accessible to everyone. From day one, we've been focused on building a great user experience through advanced technology. From the first truly dynamic web apps, to the mobile revolution, we've been at the forefront of every technological wave with the sole purpose of democratising the financial markets. Software engineering and product design are at the heart of what we do. Trading 212 is licensed and regulated by the UK Financial Conduct Authority and the Cyprus Securities and Exchange Commission (No. 398/21). When investing, your capital is at risk.
