
at Zopa
FinTechPosted 4 days ago
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**Senior Analyst (Risk Technology) @ Zopa** Drive Zopa's new automated risk detection. Leverage analytics, automation, and AI to build scalable solutions across lending products. Collaborate with Product, Analytics, Engineering, and Risk to understand processes, identify issues, and implement automated controls. - **Key Responsibilities:** Stakeholder engagement, data flow investigation, solution development using SQL, Python, and AI tools, implementation support, and quality improvement. - **Required Skills:** Degree in STEM field or equivalent, strong logical thinking, curiosity, comfort in ambiguity, SQL, Python or similar tools. - **Nice to Haves:** Operations experience, familiarity with fintech, AI tool usage, personal projects demonstrating coding curiosity. Hybrid role (2-3 days/week in London). Flexible remote working up to 120 days/year. Diverse and inclusive environment.
- Compensation
- Not specified
- City
- London
- Country
- United Kingdom
Currency: Not specified
Full Job Description
A day in the life...
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Youll speak to stakeholders across the business to understand processes that may not be fully documented
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Investigate how data moves through systems and work out what needs to be monitored, validated or automated
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Use SQL, Python and AI-enabled tools to build scalable automated solutions that were previously unimageable, like our cutting edge AI tool that ensures we identify and protect our vulnerable customers.
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Partner with Product and Engineering teams to understand system architecture and support implementation
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Help improve the quality, reliability and scalability of how we identify and prevent operational issues
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Shape a new capability at Zopa, creating approaches and patterns that can be reused as the function grows
About you...
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Degree or equivalent experience in a STEM field or similar
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Highly curious, with a strong instinct to dig deeper and understand how systems, processes and data flows work
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Comfortable working in ambiguous environments where problems are not fully defined
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Strong logical thinking and problem-solving skills, with a practical and structured approach
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Strong communication and stakeholder skills, with the confidence to ask good questions and challenge assumptions
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A proactive mindset with examples of taking ownership and driving work forward independently
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Exposure to SQL, Python or similar analytical tooling, or strong evidence of the aptitude to learn quickly
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Excited by automation, AI and using technology to solve real business problems
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Experience in operations, consulting, fintech or other fast-moving environments
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Experience using AI tools to solve real problems, with the ability to critically assess outputs rather than accept them at face value
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Personal projects, courses or other examples that demonstrate coding curiosity or technical learning




