Fintech Data Analyst (They/She/He) - HQ
If you’re here, it’s because you’re looking for an exciting ride. A ride that will fuel up your ambitions to take on a new challenge and stretch yourself beyond your comfort zone. We’ll deliver a non-vanilla culture built on talent, where we work to amplify the impact on millions of people, paving the way forward together. Not your usual app. We are the fastest-growing multi-category app connecting millions of users with businesses, and couriers, offering on-demand services from more than 170,000 local restaurants, grocers and supermarkets, and high street retail stores. We operate in more than 1500 cities across 23 countries. Together we revolutionise the way people connect with their everyday needs, from delivering essentials to connecting our ecosystem of users through innovative solutions powered by technology. For us, every day is filled with purpose.
What makes our ride unique? 🤝 Our culture and strong values. 💪 Our career development philosophy. 🤝 Our commitment to being a force for good.
We have a vision: Building the largest marketplace in your city, to give access to anything in minutes. And this is where your ride starts.
YOUR MISSION
We are seeking a detail-oriented and proactive analyst to join our data-driven Fintech Risk team. Do you excel at turning complex data into strategic actions? Do you thrive in a dynamic environment where you’ll design, implement, and iterate fraud controls that directly protect revenue and enhance our customer experience? Are you ready to collaborate with Product, Engineering, and Data Science teams to build best-in-class prevention tools while influencing our risk strategy across multiple regions? If your answer is YES and you’re excited to join a highly data-driven, results-focused team, we can’t wait to meet you!
THE JOURNEY
- Identify opportunities to reduce fraud losses on different streams and improve overall profitability by leveraging advanced risk rules and Machine Learning.
- Implement end-to-end fraud prevention strategies—design controls, execute rollouts, measure impact, and iterate for continuous improvement.
- Support the evaluation of fraud prevention controls by assisting in the setup, monitoring, and performance analysis of A/B tests.
- Collaborate with stakeholders like Product, Engineering, Data Science to propose innovative and preventive fraud controls.
- Perform risk analysis using SQL, Python and analytics platforms (e.g. Looker, BigQuery) to identify emerging fraud patterns and monitor key metrics.
- Contribute to machine learning workflows by partnering with Data Science: define relevant features, validate model outputs, and flag performance drift.
- Maintain and optimize a centralized escalation process for suspected fraud, ensuring timely reviews, feedback loops, and alignment with local teams to adapt risk controls regionally.
- Develop and maintain executive dashboards in Looker to track fraud OKRs, financial exposure, and compliance metrics.
- Drive clarity and resolve ambiguity on complex fraud topics, using data-driven approaches, simplifying concepts for different audiences (local ops, senior leadership, or external partners).
We believe driven talent deserves:
- 💪 Top-notch private health insurance to keep you at your peak.
- 🍔 Monthly Glovo credit to satisfy your cravings!
- 💳 Discounts on transportation, food, and even kindergarten expenses.
- 🏊 Discounted gym memberships to keep you energized.
- 🏖️ Extra time off, the freedom to work from home two days a week, and the opportunity to work from anywhere for up to three weeks a year!
- 👪 Enhanced parental leave, and office-based nursery.
- 🧠 Online therapy and wellbeing benefits to ensure your mental well-being.
WHAT YOU WILL BRING TO THE RIDE
- 1-3 years of experience in fraud prevention, risk management, fintech or analytics.
- A Bachelor’s degree in Economics, Statistics, Mathematics, Engineering, or a related quantitative field.
- Strong analytical skills with proficiency in SQL; familiarity with Python or other analytical tools is a plus.
- Experience with BI tools such as Looker, Tableau, or similar.
- Theoretical understanding of Precision vs. Recall and A/B testing principles.
- Good communication and stakeholder management skills - comfortable presenting insights to both technical and business audiences.
- Curiosity and a problem-solving mindset, with a desire to learn and grow within risk and fintech.
- Proficiency in English.
