Sr. Fintech Risk Analyst (They/She/He) - HQ

Finance, Barcelona, Spain (hybrid)

If you’re here, it’s because you’re looking for an exciting ride.

A ride that will fuel up your ambitions to take on a new challenge and stretch yourself beyond your comfort zone.

We’ll deliver a non-vanilla culture built on talent, where we work to amplify the impact on millions of people, paving the way forward together.

Not your usual app. We are the fastest-growing multi-category app connecting millions of users with businesses, and couriers, offering on-demand services from more than 170,000 local restaurants, grocers and supermarkets, and high street retail stores. We operate in more than 1500 cities across 23 countries.

Together we revolutionise the way people connect with their everyday needs, from delivering essentials to connecting our ecosystem of users through innovative solutions powered by technology. For us, every day is filled with purpose.

What makes our ride unique?

Our culture and strong values.

Our career development philosophy.

Our commitment to being a force for good.

We have a vision: Building the largest marketplace in your city, to give access to anything in minutes. And this is where your ride starts.

YOUR MISSION

We are seeking a world-class Senior Fraud Analyst to join our fast-growing, data-driven Fintech team. Do you excel at turning complex data into strategic actions? Do you thrive in a dynamic environment where you’ll design, implement, and iterate fraud controls that directly protect revenue and enhance our customer experience? Are you ready to collaborate with Product, Engineering, and Data Science teams to build best-in-class prevention tools while influencing our risk strategy across multiple regions? If your answer is YES and you’re excited to join a highly data-driven, results-focused team, we can’t wait to meet you!

THE JOURNEY

Identify opportunities to reduce fraud losses on different streams and improve overall profitability, leveraging existing Fintech levers like advanced risk rules and Machine Learning.
Support and implement end-to-end fraud prevention strategies—design controls, execute rollouts, measure impact, and iterate for continuous improvement.
Design and launch A/B tests to evaluate and optimize new fraud prevention controls.
Collaborate with stakeholders like Product, Engineering, Data Science to propose innovative and preventive fraud controls.
Perform advanced risk analyses using SQL, Python and analytics platforms (e.g., Amplitude, 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 (Looker/Tableau) to track fraud OKRs, financial exposure, and compliance metrics; prepare regular updates for senior leadership.
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).
Liaise with external vendors (fraud detection providers, payment gateways, acquirers, card schemes) to evaluate performance and ensure effective integration of third-party solutions.

Be a core member of our Risk team from day one—contributing to its strategy, influencing priorities, and growing in tandem with the expansion of our department.

WHAT YOU WILL BRING TO THE RIDE

3+ years of hands-on experience in fraud prevention, risk management, or analytics within a leading fintech, e-commerce, payments, or marketplace environment.
Bachelor’s degree (or higher) in Mathematics, Statistics, Engineering, Computer Science, Economics, or a related quantitative field.
Good stakeholder-management skills, and experience leading projects.
Experience leading analyses and turning insights into actions.
Advanced proficiency in SQL and working knowledge of Python
Fundamental understanding of ML and base statistics.
Experience designing and launching A/B tests
Experience with visualization tools (e.g., Looker, Tableau).
Proficiency in English.

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!