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About the Role

Seeking a highly analytical fraud strategy analyst with strong numerical skills and a passion for problem-solving to significantly impact the business. The role requires basic coding experience in Python and SQL to generate data-driven insights and support impactful changes within UK operations. This position is within an ambitious, fast-paced environment with minimal bureaucracy.

Responsibilities

• Contribute to fraud strategy for evolving portfolios.
• Discover data insights and develop strategies to address key business questions.
• Collaborate with cross-functional teams to implement strategies.
• Monitor and assess strategy success, identifying continuous improvement opportunities.

Requirements

• Graduate with a degree.
• Proficiency in SQL and willingness to learn Python.
• Interest in contributing to fraud strategies.
• Focus on driving business outcomes.
• Possess natural curiosity and analytical drive.
• Startup mindset and enthusiasm for entrepreneurial environments.

Skills

• SQL
• Python
• Data analysis
• Problem-solving

Location

• UK

Experience Level

• Graduate

Education Level

• Degree

Benefits

• Opportunity to scale one of the world's most successful fintech companies.
• Flexible working approach.
• Social events and connection opportunities.
• Private health cover.
• Retirement savings plans.
• Employee referral program with competitive bonus.
• Fully stocked kitchen and complimentary lunches on in-office days (at select locations).
• Cycle-to-work scheme (at select locations).
• Electric vehicle salary sacrifice scheme (at select locations).

About the Company

• Mission to build the world's best technology for credit and savings.
• One of the UK’s leading fintech companies.
• UK unicorn with over 700 employees.
• Among the fastest-growing tech companies in the UK.
• Profitable since 2017.
• Backed by Balderton Capital and Goldman Sachs.
• Highly rated by customers (4.9 on Trustpilot).
• Rebuilt consumer finance products: loans, credit cards, and car finance.
• Delivers funds to customers in minutes.
• Expanding into UK and US markets.
• Empowers employees with ownership and impact.
• Fosters small, resourceful teams.
• Develops in-house technology using data, machine learning, and AI.