Level

Delivery Hero (talabat)

Data Analyst - Risk and Fraud

Delivery Hero (talabat) is hiring a Data Analyst - Risk and Fraud for a remote role open to applicants in Spain. Level rates it ; you can apply on Delivery Hero (talabat).

Level's read on this job

  • On Level's scale, this data analyst role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • This is listed as a remote role.
  • The posting mentions Python, SQL and fraud detection among its tools and skills.
  • Delivery Hero (talabat) has 940 other open roles on Level.
  • Posted in the last few days.

AI in this role

Design anti-fraud detection logic, build ML models, and integrate AI into delivery platform operations.

pythonsql
fraud-detectionmachine-learningdata-analysisanomaly-detection

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:  JR0076157

YOUR MISSION

Courier fraud costs Glovo millions a year. Account sharing, GPS spoofing, cancellation abuse, payment manipulation. Your job is to make that number smaller, end to end. You’ll design the detection logic, build the models, ship the dashboards, and push AI into the anti-fraud pipeline across every Glovo market. The problems are adversarial, the data is messy, and every percentage point you recover hits the P&L.

 

THE JOURNEY

  • Own the global fraud strategy. Define rules, thresholds, and detection logic across all markets. Iterate as fraud patterns evolve. Partner with Operations and Legal to align enforcement with local regulation.

  • Build detection frameworks that scale. Design and ship heuristic scores, rule engines, and anomaly flags for cancellation abuse, account sharing, GPS spoofing, and payment fraud. Work with Data Engineering to keep them running in production.

  • Bring AI into the pipeline. Scope ML use cases, partner with Data Science to build them, and own the path from prototype to deployed model. If central doesn’t build it, you do.

  • Ship dashboards local teams actually open. Build self-service monitoring so ops teams across 10+ markets can spot signals and act without waiting for you. Collaborate with local operations to make the tools fit their reality.

  • Quantify impact and drive decisions. Run deep-dives that end in countermeasures, not slide decks. Give leadership clear, regular reporting on fraud trends, financial exposure, and what’s working.

  • Think like a courier. Understand their incentives, pain points, and the vectors they’re exposed to, so the solutions you build are effective and fair.

WHAT YOU WILL BRING TO THE RIDE

Must have

  • 3+ years in a data analyst or analytics engineer role, with a track record of turning analysis into business decisions

  • Strong SQL and Python. Production-grade queries and scripts, not just ad-hoc notebooks

  • Hands-on experience with AI/ML. You’ve scoped use cases, built or partnered on models, and taken them from prototype to production. You don’t just consume models, you push them forward

  • Structured problem solving. You take messy, ambiguous problems and turn them into clear workstreams with a plan

  • Strategic thinking. You zoom out from the data to frame the business problem and decide where effort has the highest leverage

  • English fluency. Comfortable pushing proposals through senior stakeholders and central teams

Nice to have

  • Experience in fraud, trust & safety, or marketplace operations

  • BI platform experience (Looker, Tableau, or similar) and an opinion on what makes a dashboard people actually use

Individuals representing diverse profiles, and abilities, encompassing various genders, ethnicities, and backgrounds, are less likely to apply for this role if they do not possess solid experience in 100% of these areas. Even if it seems you don't meet our musts don't let it stop you, we are all about finding the best talent out there! Skills can be learned, and embracing diversity is invaluable.

We believe driven talent deserves:

  • 🌟 An enticing equity plan that lets you own a piece of the action.
  • 💪 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.

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!

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

Data Analyst - Risk and Fraud at Delivery Hero (talabat) rates 70 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.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

Fraud DetectionMachine learningData AnalysisAnomaly DetectionPythonSQL

Also common in data analyst jobs at this level

Pay

Typical data analyst job
$110k

This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs

Questions you could be asked

  1. Tell me about a project where fraud detection was part of your work. What did you do?
  2. Tell me about a project where machine learning was part of your work. What did you do?
  3. Tell me about a project where data analysis was part of your work. What did you do?
  4. Tell me about a project where anomaly detection was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Fraud Detection, Machine learning, Data Analysis, Anomaly Detection, and Python. 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.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.

Get new remote data analyst jobs (Works on AI ●●●○ or higher) by email

One email a week with the new remote data analyst jobs (Works on AI ●●●○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.

Similar roles

Data roles that work on AI, at other companies.

What kind of AI work fits you?

Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.

Find my next step

More jobs at Delivery Hero (talabat)

More data analyst jobs

Related searches

Same AI level

Jobs by city