Analista Fintech

• 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.

• 💪 Top-notch private health insurance to keep you at your peak.

• 🍔 Monthly Glovo credit to satisfy your cravings!

• 💳 Flexible compensation discounts on transportation, food, and even kindergarten expenses.

• 🏊 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.

At Glovo, your success is defined by both results and behaviors. We hire for excellence in craft and for the Leadership Principles that shape how we think, decide, and collaborate. What you achieve matters and how you achieve it defines us. Together, they move the business forward and deliver great experiences. Learn more about our Leadership Principles here.

Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds – all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard.

Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc).

So, ready to take the wheel and make this the ride of your life?

Delve into our culture by taking a peek at our Instagram and check out our LinkedIn and website!

Job Ref ID: JR0084509

• 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).