Cette offre est lié au département Data science
Our mission? Creating the finance solution that energizes SMEs and freelancers, so they can achieve more(e)We simplify everything from everyday banking to bookkeeping and spend management(e)At Qonto, we’re passionate about creating the best product - with both impact and a great user experience(e)So if you’re looking for an ambitious team that’s revolutionizing a rather old-fashioned industry, get in touch(e)You can find out more about the Qonto Way here.
- Becoming market leader for online SME banking in Europe with 300,000 SME clients
- Opening offices in Paris, Berlin, Milan, Barcelona and Belgrade
- Recently joining forces with Penta, a market leader, based in Berlin and Belgrade to strengthen our growth
- 900+ happy Qontoers building a finance solution businesses love to use.
Our values:
Ambition | We tackle big challenges(e)No matter what
Teamwork | We create momentum by working together, at the same speed
Mastery | We pursue excellence through continuous learning(e)We face challenges with humility(e)Every day
Integrity | We're open(e)We're honest(e)And we earn the trust of our clients and each other
Qonto has grown a 55+ data team with Data Engineers, BI, Data Scientists, and Machine Learning Engineers working together to deliver great dashboards, reports and data products(e)And now is the time for Qonto to double down on Data Products!
⭐️ Qonto is looking for talented Machine Learning Engineers to join our team and create, deploy & train impactful machine learning models while being very close to our stakeholders & business!
Machine Learning Engineers will make key contributions to Qonto through AI/ML-based data products(e)Our data products are automation building blocks: they infer mappings from historical data and we have dozens of use cases at Qonto for such beasts(e)Data products are here to ensure that we won’t need twice the headcount when we will do twice the revenue.
As a Machine Learning Engineer, you will be collaborating closely with Simon, our Senior Lead Data Products within our subteam in charge of fraud detection and risk scoring models at Qonto(e)
👩💻🧑💻 As a Machine Learning Engineer at Qonto, you will
• Inspect historical data in search of their generalization power.
• Collaborate hand-in-hand with our internal stakeholders through cross-functional teamwork.
• Design, build and deploy data products.
• Ensure that models remain performant over time.
• Using the best engineering practices to reach high levels of quality.
• Impact Qonto with incremental revenues, or cost reduction, by millions of euros a year.
🤔 What you can expect
• Join Qonto who is winning SME banking in Europe(e)Qonto is on track to power one million SMEs in 2025.
• Develop dozens of customer-impacting innovative data products ranging from understanding better our clients to Qonto's app killer features
• Work with a top-notch team with strong knowledge-sharing practices
• Leverage our values and our culture of continuous improvement to boost your impact.
• Our data teams are part of our Tech team, granting us easy access to our infrastructures while also supporting teamwork.
• Qonto is highly data-driven and our different business stakeholders are also thriving in that direction.
🤝 About your future manager
Your manager will be Simon, who is in charge of the Data Products team at Qonto!
• His background? After his experience in fast-scaling organizations at both ManoMano & Kapten where he managed and built Data Science teams from scratch, Simon joined Qonto to structure our Data Products departments!
• What does he bring to the team? As an expert in his field, he has hands-on experience in implementing and taking Machine Learning models into production in product-driven & cross-functional teams(e)Simon also has a true passion for mentoring and coaching the team.
🏅 About You
• Mindset: You naturally explore the data before building any model and you distinguish correlation from causation.
• Mastery: You are proficient with Python, Pandas, and Scikit-learn, Tensorflow, or Pytorch(e)You care about the craft and champion high standards.
• Outcome-oriented: You value simplicity and think impact first.
• Software Engineering best practices: you document, version, and test your code systematically.
• Communication: You appreciate the teamwork that data products typically require, and you have effective communication skills, to build alignment and articulate purpose.
• Language: You are fluent in English.
If you read this far and feel like this could be a great opportunity for you, please don’t self-reject yourself and just hit the button “Apply”!
🎁 Perks
A laptop(e)An inclusive work environment(e)A tailor-made career track(e)And so much more to help you succeed…
Office & Team Life
- A fully-renovated building in the center of Paris with WeWork services
- The latest equipment from Apple
- Monthly team events
- Free coffee and snacks in the kitchen
All our benefits
- A competitive salary package
- Remote Policy: from 2 days per week to Full remote
- 5 to 10 days off in addition to the legal 25 days
- Alan health insurance, Moka Care to take care of your mental health, andGymlib for sports and wellness activities
- Swile Card for lunch
- An inclusive environment with a focus on parity: 44% of our teams are women
- A progressive 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
- Relocation package and visa sponsorship for international talents (we have 60+ nationalities) including access to Busuu to improve your language skills
- Career tracks and mobility opportunities that can match all expectations
💪 Our hiring process:
- A 60 min video call with one of our Talent Acquisition Managers, to better understand your career plan and answer any questions you may have
- A 60 min video call with your future manager, to be aligned on expectations on both sides and to talk about how you would work together
- A remote exercise to evaluate your skills and give you a taste of what working Qonto could be like
- Video calls or onsite interviews with future team members (optional) to help you understand what working at Qonto is like
- A final video call or onsite interview with the manager of your future Department
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 🤞
Thank you for considering joining Qonto(e)We cannot wait to learn more about you!