Delivery Hero

Financial Data Analyst

In short

This junior analytics role at Glovo (part of Delivery Hero) focuses on fraud prevention and risk management, using SQL, Python, and BI tools like Looker to design and monitor fraud controls, run A/B tests, and support machine learning workflows alongside Data Science. The position is remote, full-time, and requires 1-3 years of experience in fraud prevention, risk management, fintech or analytics plus a quantitative degree. Strong SQL skills, familiarity with BI tools, and English proficiency are the main demands.

About
Glovo is part of the Delivery Hero Group, the world's pioneering local delivery platform, with a mission to deliver an amazing experience—fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.
Responsibilities
•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).
Requirements
•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.
Benefits
•Top-notch private health insurance.
•Monthly Glovo credit.
•Flexible compensation discounts on transportation, food, and kindergarten expenses.
•Gym memberships.
•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.

Stop applying.
Get referred.

$10 in free credits

In just 60 seconds, fully on autopilot — Eraldt's AI agents read your CV, map the roles you fit, find live vacancies and the people who can refer you, write personal emails, and get you referred.

This isn't an application: your CV doesn't go to the company, and we don't promise a referral for this exact role.

Discover who else lands interviews on autopilot