Senior Machine Learning Engineer

Senior Machine Learning Engineer

This job is no longer open
Our mission? Creating the finance solution that energizes SMEs and freelancers, so they can achieve more. We simplify everything from everyday banking to bookkeeping and spend management. At Qonto, we’re passionate about creating the best product, so if you’re looking for an ambitious team that’s revolutionizing an old-fashioned industry, get in touch!

Our journey: Alexandre and Steve launched Qonto in July 2017. Since then, the team has earned the trust of more than 400,000 customers and opened offices in Paris, Berlin, Milan, and Barcelona. Last summer, we joined forces with Penta, a market leader based in Berlin and Belgrade, forming a united team of 1,300 Qontoers. We also made it to the LinkedIn Top Companies French ranking!

Our values:
Ambition | We tackle big challenges. No matter what.
Teamwork | We create momentum by working together, at the same speed.
Mastery | We pursue excellence through continuous learning. We face challenges with humility. Every day.
Integrity | We're open. We're honest. And we earn the trust of our clients and each other.

You can find out more about the Qonto Way here.

Our beliefs: Our goal at Qonto is to create a warm and welcoming environment where individuals from all walks of life can truly thrive. We've gone above and beyond to ensure that every applicant is evaluated solely based on their skills and potential, rather than their gender, ethnicity, age, (dis)ability, or any other irrelevant factor. Our team consists of 49% international individuals, with 44% women and 20% parents. With this diversity, we are a powerful force! Join us in our mission to build a workplace that celebrates diversity and embraces individuality. Discover the steps we took to create a discrimination-free hiring process.

Our career track: At Qonto, we cherish your unique skills, breaking away from conventional labels like "senior" or "director," and instead, offering personalized career tracks and expertise levels from 1 to 9 that truly celebrate your impact!

To achieve Qonto's ambitious goals, we created the Data team, responsible for overseeing data analysis, engineering, and science. In just two years, our data department has grown from 5 to 50 people, and we continue expanding!

 Mission: Qonto is looking for a talented Machine Learning Engineer to join our Data Products team of 12, and create, deploy & train impactful machine learning models while being very close to our Risk & Fraud team!

🎯  As a Machine Learning Engineer, you will

Have a business impact: Participating in improving our product and fighting against fraud will have a key impact on Qonto's business and success
Partner with Key Stakeholders: Work closely with Risk, Financial Security (FS) & Anti-Money Laundering (AML) teams to control fraudulent and non-compliant transactions while limiting UX impact for legit customers. You will be able to put yourself in the shoes of our customers to draw the best feature possible for them
Help Qonto scale our models: We truly believe that we are only at the beginning of Qonto's journey in our Data Product team. We currently have around 10 models in production and we would like to expand further and improve their performance
And also working on transversal topics like creating a feature engineering platform to centralize our features and make them easily accessible, the aim is to be fully prepared to scale our team and make it easier to create new models
Help enhance the team: As a true expert in your field, your knowledge and skills will be key to helping our team grow

🔥 See examples of key projects you may work on

-Revamping our Lifecycle Risk Score (LRS), a powerful tool that aims to assess the risk of an organization being fraudulent during their life at Qonto and to bring these organizations to the attention of the Risk teams through our in-house alerting system.
-Improving our alert filtering system is a key component of our strategy to fight against money laundering by detecting and pushing the riskiest organizations at the appropriate time.
-Automating the matching of inbound transactions with generated invoices so that our clients get a clear view of their finances and prepare the work for their accountants.

🚀  What you can expect

-Join Qonto who is winning SME banking in Europe. 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 You

Mindset: You naturally explore the data before building any model, you are proficient in feature engineering techniques to extract meaningful insights from complex datasets. Bonus : You are very interested in modeling competitions, and you take pride in setting the best scores.
User-focused and outcome-oriented: You want to solve high-impact business problems and deliver value to our users in production
Mastery: You are proficient with Python, Pandas, Scikit-learn, Tensorflow, or Pytorch. 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.

🌏 Location: You can choose to work in a full-remote mode as long as you're living in (or willing to relocate to) either Germany, France, Italy, Serbia or Spain.

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 laptop. An inclusive work environment. A tailor-made career track. And so much more to help you succeed.

- A central fully-renovated building in Berlin with WeWork services
- Monthly team events
- Tailor-made remote work policy depending on the job you apply for
- 28 days of paid leave
- Moka Care to take care of your mental health and gym access with Urban Sports Club
- A Hrmony lunch card: 100% covered
-100% public transportation reimbursement
- 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

💪 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 🤞

Thank you for considering joining Qonto. We cannot wait to learn more about you!

One last thing. We recently raised 486M€ in our Series D to ensure we keep growing safely, despite the current economic environment looking a bit gloomy. We revealed our plans for the future here.

To learn more about us:
Qonto's Blog | Handelsblatt  | Startup Insider | Frankfurter Allgemeine Zeitung (FAZ)

To know how your personal data will be processed during your application process or to request its deletion, please click here.
This job is no longer open
Logos/outerjoin logo full

Outer Join is the premier job board for remote jobs in data science, analytics, and engineering.