Qonto
Paris
1,001-5,000 employees
Qonto is the leading European business finance solution. It simplifies everything from everyday banking and financing, to bookkeeping and spend management.
Prior Listings
Lead Machine Learning Engineer
Lead Machine Learning Engineer
Our mission? Making day-to-day banking easier for SMEs and freelancers thanks to an online business account that's combined with invoicing, bookkeeping and spend management tools. Thanks to its innovative product, highly reactive 24/7 customer support and clear pricing, Qonto has become the leader in its market.
Our journey: Founded by Alexandre and Steve in July 2017, Qonto has rapidly gained trust, serving over 500,000 customers. Thanks to our wonderful team of 1,600+ Qontoers, we also made it to the LinkedIn Top Companies French ranking!
Our values:
Customer focus | Prioritize customers in everything you do
Ownership | Own your part, get things done
Teamwork | Make (team)work easy
Mastery | Continuously raise the bar
Integrity | Always do what’s right, and respect people
Our beliefs: At Qonto, we're committed to fostering a welcoming environment where everyone can thrive. We prioritize evaluating applicants based solely on skills and potential, ensuring diversity with 50% international team members, 44% women, and 20% parents. Join us in building a workplace that celebrates diversity and individuality.
Discover the steps we took to create a discrimination-free hiring process.
⭐ Mission: Lead the integration of cutting-edge machine learning solutions to streamline and enhance financial transactions. Elevate our Data Product Team by delivering impactful products that solve real-world problems in the fintech space.
👩💻🧑💻 As a Machine Learning Team Lead at Qonto, you will:
Drive Innovation: Develop and execute machine learning projects that reduce manual processes and enhance customer experience.
Collaborate: Work closely with Product Managers and the Data Platform team to ensure seamless integration and alignment with business goals.
Mentor: Guide and expand our team of Machine Learning Engineers and Data Engineers, fostering a culture of innovation and excellence.
Deliver Impact: Lead critical projects like OCR and fraud detection, contributing directly to the company’s competitive edge and customer satisfaction.
Optimize Processes: Enhance project delivery processes, ensuring efficiency and high-quality output.
🔥 Example Project: Improve our OCR (Optical Character Recognition) tool to extract relevant information from invoices. Automatically attach invoices to related transactions, classify them, and simplify financial management for our customers.
🚀 What you can expect:
Dynamic Team: Be part of an ambitious team in a fast-growing fintech company that values innovation and efficiency.
Cutting-edge Tools: Access the latest technologies and tools, working on projects critical to the financial operations of thousands of businesses.
Collaborative Environment: Contribute ideas and take initiative in a supportive, team-oriented setting.
Leadership Opportunities: Grow your career as our company expands its operations and market reach.
Strategic Impact: Get involved in projects that directly impact the success and growth of Qonto.
🤝 Your Future Manager
Jérémie, VP of Data, will be the one to help you succeed.
His background?
Before joining Qonto, Jérémie was an associate professor at Telecom Paris and Telecom SudParis. He led data teams for some of France's most reputed digital companies and still advises several deep tech startups. He teaches at Ecole Polytechnique and co-authored over 50 scientific papers.
What does he bring to the team?
Jérémie defines a clear vision and path to success for our data platform, BI, data science, and data products teams. He ensures they operate efficiently and have a smooth collaboration with other departments at Qonto. He also helps them continuously learn new skills while improving their existing ones and is still very involved in the hiring of his teams.
🏅 About You:
Experience: You have a proven track record as a Machine Learning Engineer or in a similar role, with experience in leading teams, even if on a small scale.
Leadership: While extensive management experience is not required, you have an aptitude for mentoring and guiding teams.
Technical Expertise: You have a deep understanding of machine learning engineering (MLE), including what is technically feasible and the limitations of various approaches.
Communication: You demonstrate the ability to collaborate effectively with cross-functional teams, particularly with Product Management.
Continuous Improvement: You have a passion for innovation and a constant drive to improve existing systems and processes.
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
A tailor-made and dynamic career track. An inclusive work environment. And so much more to help you succeed.
- Offices in Paris, Berlin, Milan, Barcelona, and Belgrade;
- Tailor-made remote work policy depending on the job you apply for and where you live;
- Competitive salary package;
- A meal voucher;
- Public transportation reimbursement (part or global);
- A great health insurance (depending on the country);
- Employee well-being initiatives: access to Moka Care to take care of your mental health and great offers for sports and wellness activities;
- A progressive disability, and parenthood policy as part of our commitment to the Parental Act (1 in 6 of Qonto employees is a parent!) and childcare benefits with selected partners;
- Monthly team events.
💪 Our hiring process:
- Interviews with your Talent Acquisition Manager and future managers
- A remote exercise to demonstrate your skills and give you a taste of what working at Qonto could be like
We will send you an interview guide so you can best prepare yourself.
On average, our process lasts 20 working days and offers usually follow within 48 hours 🤞
To learn more about us:
Qonto's Blog | Les Échos I L'Usine Digitale | Courrier Cadres
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