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For Companies At a Glance
- Tasks: Support and optimise financial workflows while automating processes with coding.
- Company: Dynamic fintech company revolutionising trading and investing for millions.
- Benefits: Generous salary, bonuses, private health insurance, and 25 days paid vacation.
- Why this job: Join a team of high-performers and tackle exciting challenges in fintech.
- Qualifications: Basic programming skills and a curiosity for data engineering and automation.
- Other info: Flexible culture with opportunities for growth and collaboration.
The predicted salary is between 28800 - 48000 £ per year.
Our mission is to enable everyone to build wealth
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 4.5 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 do
Process Support & Optimisation
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Assist in mapping, documenting, and analysing financial workflows (e.g., account onboarding, trade execution, reporting).
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Support senior engineers in implementing improvements to reduce inefficiencies and errors.
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Contribute to automation initiatives by building scripts, bots, or workflow tools.
Programming & Automation
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Write basic scripts (e.g., Python, SQL, JavaScript) to clean, transform, and automate data processing.
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Support integration of APIs and automation tools
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Help build monitoring dashboards and alerts for critical process pipelines.
AI & Data Pipelines
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Work with data engineers and analysts to understand and maintain data pipelines feeding business-critical processes.
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Support experiments with AI/ML models for process automation (e.g., customer support chatbots, fraud detection, anomaly monitoring).
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Document and test pipeline improvements to ensure reliability and accuracy.
Collaboration & Learning
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Work closely with product, operations, and compliance teams to understand requirements and deliver process improvements.
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Learn fintech-specific regulatory requirements (AML/KYC, GDPR, MiFID II) and how they shape operational workflows.
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Participate in cross-team projects, contributing with data, automation, and testing support.
What you need to have
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Basic programming skills (Python, SQL, or similar).
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Interest in data engineering concepts (ETL pipelines, APIs, cloud data platforms).
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Familiarity with AI/ML tools.
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Strong analytical and problem-solving mindset.
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Curiosity about fintech, financial markets, and automation.
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Ability to document processes clearly and work in a structured way.
What we offer
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Opportunities to tackle challenging projects and realize your potential
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Work with a team of smart, spirited, and helpful high-performers
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A flexible culture that values and appreciates talent and new ideas
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Generous remuneration package with annual bonuses
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Excellent social benefits package, including private health insurance and 25 days of paid vacation per year
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Delicious treats and a spacious game room for team enjoyment
Are you ready to accelerate your career with us? We\’d love to hear from you!
We thank all applicants, but only candidates selected for an interview will be contacted.
All personal data of applicants is protected by the law and will be treated with strict confidentiality.
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Process Engineer employer: Trading212
Contact Detail:
Trading212 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Process Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your programming projects or any automation tools you've built. This is a great way to demonstrate your capabilities beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common process engineering scenarios. Think about how you would tackle inefficiencies or errors in workflows, and be ready to share your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Process Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your skills in programming and data engineering. We want to see how your experience aligns with our mission of optimising financial workflows!
Show Your Passion for Fintech: Let us know why you're excited about the fintech industry! Share any relevant projects or experiences that demonstrate your curiosity and interest in financial markets and automation.
Be Clear and Structured: When documenting your processes or experiences, clarity is key. Use bullet points and headings to make it easy for us to read and understand your application. We appreciate a well-organised approach!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Don’t miss out!
How to prepare for a job interview at Trading212
✨Know Your Tech
Brush up on your programming skills, especially in Python, SQL, and JavaScript. Be ready to discuss how you've used these languages in past projects or how you would apply them to automate processes in the role.
✨Understand the Fintech Landscape
Familiarise yourself with key fintech concepts and regulations like AML/KYC and GDPR. Showing that you understand how these regulations impact operational workflows will impress the interviewers.
✨Showcase Your Analytical Skills
Prepare examples of how you've tackled complex problems in previous roles. Highlight your analytical mindset and how it can contribute to optimising financial workflows and reducing inefficiencies.
✨Be Ready to Collaborate
Emphasise your teamwork skills and willingness to learn from others. Discuss any cross-team projects you've been involved in and how you contributed to their success, as collaboration is key in this role.
