Process Engineer

Trading212; City Of London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading fintech company in London is seeking candidates for a role focused on process support and optimization. The ideal applicant should possess basic programming skills, have an interest in data engineering concepts, and be curious about fintech and financial markets. This position offers opportunities to tackle challenging projects and work in a flexible culture, with a generous remuneration package and excellent social benefits.

Benefits

Generous remuneration package with annual bonuses

Excellent social benefits including private health insurance

25 days of paid vacation per year

Qualifications

• Basic programming skills in Python, SQL, or similar.
• Interest in ETL pipelines, APIs, or cloud data platforms.
• Familiarity with AI/ML tools is an advantage.

Responsibilities

• Assist in documenting and analyzing financial workflows.
• Support automation initiatives by building scripts or tools.
• Work closely with product and operations teams for process improvements.

Skills

Basic programming skills (Python, SQL)

Interest in data engineering concepts

Familiarity with AI/ML tools

Analytical mindset

Curiosity about fintech

Job description

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

• Assist in mapping, documenting, and analysing financial workflows (e.g., account onboarding, trade execution, reporting).

• Support senior engineers in implementing improvements to reduce inefficiencies and errors.

• Contribute to automation initiatives by building scripts, bots, or workflow tools.

Programming & Automation

• Write basic scripts (e.g., Python, SQL, JavaScript) to clean, transform, and automate data processing.

• Support integration of APIs and automation tools

• Help build monitoring dashboards and alerts for critical process pipelines.

AI & Data Pipelines

• Work with data engineers and analysts to understand and maintain data pipelines feeding business-critical processes.

• Support experiments with AI/ML models for process automation (e.g., customer support chatbots, fraud detection, anomaly monitoring).

• Document and test pipeline improvements to ensure reliability and accuracy.

Collaboration & Learning

• Work closely with product, operations, and compliance teams to understand requirements and deliver process improvements.

• Learn fintech-specific regulatory requirements (AML/KYC, GDPR, MiFID II) and how they shape operational workflows.

• Participate in cross-team projects, contributing with data, automation, and testing support.

What you need to have

• Basic programming skills (Python, SQL, or similar).

• Interest in data engineering concepts (ETL pipelines, APIs, cloud data platforms).

• Familiarity with AI/ML tools.

• Strong analytical and problem-solving mindset.

• Curiosity about fintech, financial markets, and automation.

• Ability to document processes clearly and work in a structured way.

What we offer

• Opportunities to tackle challenging projects and realize your potential

• Work with a team of smart, spirited, and helpful high-performers

• A flexible culture that values and appreciates talent and new ideas

• Generous remuneration package with annual bonuses

• Excellent social benefits package, including private health insurance and 25 days of paid vacation per year

• 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.