Fintech Analyst
Delivery Hero (talabat) is hiring a Fintech Analyst in Barcelona, Spain. Level rates it ; you can apply on Delivery Hero (talabat).
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Python, SQL and Looker.
- Level classifies it as a mid-level role.
- Level lists 947 other open roles at Delivery Hero (talabat).
- The role was posted within the past week.
AI in this role
Analyze fraud patterns, build risk rules, and collaborate with data science on machine learning workflows to mitigate fraud.
Glovo is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is 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.
Job Ref ID: JR0084509
Be a part of a team where you will:
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).
You have:
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.
We Believe Driven Talent Deserves:
💪 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!
How we rate this
Fintech Analyst at Delivery Hero (talabat) rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where fraud prevention was part of your work. What did you do?
- Tell me about a project where risk management was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where a b testing was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Fraud Prevention, Risk Management, Machine learning, Data Analysis, and A B Testing. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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