At a Glance
- Tasks: Lead data analysis to combat fraud and enhance platform security using AI-driven solutions.
- Company: Join Just Eat Takeaway.com, a global leader in online food delivery.
- Benefits: Enjoy a vibrant culture, competitive pay, and opportunities for growth.
- Other info: Dynamic, inclusive environment with a focus on teamwork and innovation.
- Why this job: Make a real impact by protecting customers and partners from fraud.
- Qualifications: Experience in data analytics and knowledge of fraud typologies required.
The predicted salary is between 49500 - 60500 £ per year.
Ready for a challenge? Then Just Eat Takeaway.com might be the place for you. We’re a leading global online delivery platform, and our vision is to empower everyday convenience. Whether it’s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.
As a Senior Data Analyst in Global Fraud Analytics, you will lead the charge in protecting our platform from evolving threats while driving an AI-first analytics culture. Working with cross-functional partners, you will deliver data-driven solutions to safeguard our customers, couriers, and partners.
In this role, you will care for our platform ecosystem by balancing cutting-edge AI automation with rigorous sanity checks. Through teamwork, you will build innovative multi-agent systems and AI workflows to simplify operations and elevate fraud mitigation excellence.
These are some of the key components to the position:
- Analyze complex datasets using SQL and AI tools to detect payment fraud, voucher abuse, and emerging typologies.
- Aim high by designing and coordinating multi-agent AI ecosystems to automate end-to-end fraud detection.
- Drive excellence in change management, mentoring colleagues to transform manual workflows into automated AI pipelines.
- Establish robust quality control guardrails and sanity checks on all automated outputs for maximum accuracy.
- Conceptualize AI models to test fraud rules and simulate vulnerabilities to continuously improve platform security.
- Design, implement, and monitor fraud rules to minimize financial loss while maintaining a seamless customer experience.
- Create insightful Looker/Tableau dashboards and AI-enhanced reporting to present clear narratives to senior stakeholders.
- Collaborate across Agile teams using Jira to prioritize sprint deliverables and manage AI-driven integration projects.
What will you bring to the team?
- Experience in data analytics within e-commerce, fintech, or payment processing environments.
- Proven capability to orchestrate multi-agent AI systems and automate data analysis workflows.
- Specialized knowledge of fraud typologies including chargebacks, payment fraud, and promotional abuse.
- Technical proficiency in SQL (BigQuery) and advanced visualization tools like Tableau.
- Strong commitment to achieving goals by implementing guardrails and validation checks for AI-generated data.
- Ability to develop an understanding of internal and external partners to translate complex data into concise narratives.
- Collaborative mindset to act responsibly while making a lasting impact across multi-market environments.
- Familiarity with Agile methodologies, Jira, and database management principles.
- Curiosity and drive to aim higher, solving complex analytical problems with innovative solutions.
At JET, this is how we play. Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Being the best at what we do isn’t just about delivering on our strategy. It's a competition for something incredibly valuable – our customers' choice. Every time a customer decides where to order, they're picking a side. At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers’ loyalty, again and again.
Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we’re building a customer-first culture which enables us to stay one step ahead of the competition.
Inclusion, Diversity & Belongings: No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.
Are you ready to join the team? Apply now!
Senior Data Analyst - Fraud Analytics employer: Just Eat
Just Eat Takeaway.com is an exceptional employer that champions a vibrant and inclusive work culture, where collaboration and innovation thrive. As a Senior Paid Media Manager, you'll have the opportunity to lead impactful media strategies while nurturing talent within a supportive team environment. With a commitment to employee growth and a focus on celebrating successes, working at our UK office means being part of a dynamic global platform that values your contributions and empowers you to make a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst - Fraud Analytics
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Just Eat!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Analyst - Fraud Analytics at Just Eat.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Just Eat.
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We think you need these skills to ace Senior Data Analyst - Fraud Analytics
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Just Eat, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Just Eat. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Just Eat
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Just Eat!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
