Data Analytics Intern

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here).

Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,700 Qontoers serving over 750,000 customers across 8 European countries. We have been profitable since 2023, and we are just getting started.

Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit.

AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it.

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Join us as a Data Analytics Intern and help build the technical foundation that protects our 700,000+ customers. You'll join the Risk Analytics team, working closely with Vatsal Parekh to deliver reliable data, reporting and tools that help Risk & Compliance teams respond to regulators, auditors and internal controllers — while exploring how AI can make that work smarter.Internship, ideal start January 2027Planned duration: 6 months➡️ In this internship, you will:

• Handle real stakeholder requests: Deliver reliable SQL data extracts for regulatory reporting, audits and internal controls, owning daily "run" tickets with increasing autonomy.
• Build and improve dashboards: Analyse data and create or enhance reporting dashboards and visualisations that Risk & Compliance teams actually use to steer activity and risk.
• Maintain and develop technical tools: Apply and grow your SQL and/or Python skills to maintain and improve existing tools and code — you don't need to master both from day one.
• Grow into a bigger project: Depending on your capabilities and team priorities, you may contribute to or take ownership of a longer-term technical project over the internship — scope to be confirmed with your manager.

➡️ What you can expect:

• Visible impact: Your data and tools directly support how Risk & Compliance teams respond to regulators, internal auditors and controllers.
• Close mentoring: You'll be mentored by Vatsal Parekh and Omayma Nayma, with weekly 1:1 check-ins and day-to-day support.
• Room to grow: Your scope can expand as you demonstrate capability — there's no fixed ceiling on what you can take on beyond the daily tickets.
• Modern, AI-native stack: Unlimited access to AI tools like Claude Code to accelerate your work.
• Hybrid work in Paris: 2 days remote per week

➡️ About You:

• Technical foundation: You're ideally an M2 / final-year student (gap-year candidates welcome) in Computer Science, Software or Computer Engineering, from an engineering school or a technically strong university programme — international universities welcome, provided your school can issue a convention de stage.
• Practical skills: Python and/or SQL fluency. You write clean maintainable code and know how to structure a real project.
• Communication: You are fluent in English and can clearly communicate your work with teammates and stakeholders.
• Experience: A previous relevant data or engineering internship is a plus; so is experience with dashboards or maintaining existing tools.
• Curiosity: You're interested in fintech and banking and willing to learn the compliance context. A dual technical/finance background is a bonus, not a must.

➡️ About your future Manager:Your manager will be Vatsal Parekh, Lead Risk & Compliance Engineering at Qonto. He'll give you day-to-day context on how Risk Analytics supports regulators, auditors and internal controllers, while giving you room to build practical experience and take on more responsibility as you go.

• His background? Vatsal spent close to a decade at Société Générale as Senior Regulatory Risk Manager and Global Product Owner for the Counterparty Credit Risk platform, leading a team across the Americas, Europe and Asia with direct exposure to ECB and Fed regulatory frameworks. He then moved into risk and compliance consulting at Tremau, managing a team of 10 delivering engagements for global e-commerce and social media platforms, before joining Qonto in 2026.
• What he brings to the team? A combination of hands-on regulatory risk expertise, consulting-grade delivery rigor, and deep technical fluency — 10+ years of SQL, hands-on use of AI-assisted workflows, and a track record of building data and reporting processes from scratch. He gives the team both technical grounding and a first-hand read on what regulators and auditors actually need.

At Qonto we understand that true diversity isn't just about ticking boxes on a hiring checklist. Apply regardless of the boxes you tick! Who knows? You may have the missing piece of the puzzle we've been searching for all along. Perks

Flex your schedule. Work from home up to 2 days a week with our hybrid policy.

Stay active. Gympass gives you access to 3,000+ sports and wellness partners.

Eat well. Lunch card, 50% on us.

Get around. 50% of the cost of your public transportation pass is covered.

Enjoy the rest. Team events, snacks, and beverages.

Take time off. 1 paid day off per month, no questions asked.

Be yourself. An inclusive, supportive environment where everyone belongs.

At Qonto, we understand that true diversity isn’t just about ticking boxes on a hiring checklist. Apply regardless of the boxes you tick — who knows? You may have the missing piece of the puzzle we’ve been searching for all along. By applying, you agree that Qonto processes your personal data to assess your application. Your data is kept for up to 2 years in our candidate pool. Read our Privacy Notice for full details. ------------------------------------------------------------------------------------------------------ On average, our hiring process lasts 15 working days, with 3 steps:

• Interview with our recruiter
• Interview with your future mentor/manager
• Case Study debrief

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