FAQs
What is the primary focus of the Analyst (Data and Process) role?
The primary focus of this role is on lending products, including customer statements and related communications, with the potential to expand into other product areas over time.
What technologies and tools will I be using in this role?
In this role, you will be using SQL, Python, and AI-enabled tools to build scalable automated solutions.
What kind of skills and experience are needed for this position?
You should have a degree or equivalent experience in a STEM field, strong logical thinking and problem-solving skills, exposure to SQL or Python, and a proactive mindset. Experience in operations, consulting, fintech, or using AI tools is a bonus.
What does a typical day look like for someone in this position?
A typical day may involve speaking with stakeholders to understand processes, investigating data movement, building automated solutions with SQL and Python, and partnering with Product and Engineering teams.
Is the workplace environment collaborative?
Yes, Zopa values face-to-face collaboration and encourages teamwork across various departments.
How many days a week is attendance required at the London office?
This hybrid role requires you to come to the London office 2-3 days a week.
Can I work from abroad in this role?
Yes, you have the option to work from abroad for up to 120 days a year, subject to having the right to work in the country of choice.
How does Zopa approach diversity and inclusion?
Zopa is committed to a workplace free from discrimination and values diverse experiences and perspectives, which enhances both their products and company culture.
What kind of problem-solving skills are emphasized in this role?
Strong logical thinking and structured problem-solving skills are emphasized, along with the ability to work in ambiguous environments where problems may not be fully defined.
What opportunities for growth exist within the role?
The role offers the chance to shape a new capability at Zopa and create reusable approaches and patterns as the function grows.

