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Our mission? To create the finance solution that energizes SMEs & freelancers, so they can achieve more. We simplify everything from everyday banking & financing, to bookkeeping & spend management. At Qonto, we are passionate about creating the best product, one with a strong impact & a great user experience. So, if you're looking for an ambitious team that's modernizing a dusty industry thanks to design & technology combined with great customer care, get in touch! Find out more about the Qonto Way here.

Alexandre and Steve launched Qonto in July 2017, & the team has achieved great things since then:
- Market leader for online SME banking in Europe
- 250,000 SME clients
- Outstanding customer satisfaction (App Store | Google Play | TrustPilot)
- Recognized as one of the best startups to work for (LinkedIn | Glassdoor)
- €622 million raised so far with a €4.4 billion valuation after Series D
- International investors including Valar, Alven, Tencent, DST Global, Tiger Global, TCV, Alkeon, Eurazeo, KKR, Insight Partners
- 4 offices in Paris, Berlin, Milan, & Barcelona
- And 600+ happy Qontoers building a finance solution businesses love to use

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 & each other

To follow Qonto's ambition in terms of data we created our Data Department, handling Data Analysis, Engineering, & Science. The data department has grown from 5 to 30+ people within two years (and we're still hiring)!

Within the Data department, the Data Products Team (12+) is an applied machine learning (ML) team with a focus on delivery.

As a Lead Data Scientist - Fraud/Risk Team, you will be collaborating closely with Simon, our Senior Lead Data Products. You will lead & grow the Fraud/Risk Team in charge of the fraud detection & risk scoring models at Qonto.
The Machine Learning systems you'll release will interact with every transaction within our payment institution: this is one of the most challenging & high-impact machine learning issue in our sector as a FinTech company.

‍‍ As a Lead Data Scientist - Fraud & Risk at Qonto, you will

Foster collaboration with Engineering & Product leads to define a vision & strategy for your team
Work hand-in-hand with Fraud, Risk & Compliance stakeholders
Drive the delivery of your team to reach business objectives
Ensure high quality by establishing & using the best engineering practices
Hire the best talents to build a collaborative, inclusive, & supportive team culture
Orient & support a growing team of 3 to 6 applied Data Scientist through regular feedback, 1:1 sessions, pairing sessions, mentoring, & quarterly progress reviews
Design, build, test, document, run, review & maintain production code in Python
Support a critical service used by tens of thousands of users on a daily basis

 What you can expect

• Join the team that is winning SME banking in Europe. Qonto is on track to power one million SMEs in 2025.
• Work in a fast-paced environment with a strong focus on quality
Build & improve features used by 220K+ clients across Europe
Participate in the decision-making process, based on qualitative/quantitative data.
Keep learning & improving: 4 weeks dedicated to specific training, budget for 1 conference every year & for books, online training..., & practices showcasing continuous improvement
Share knowledge among the whole tech & product team (Internal & external talk, Weekly meetings, Tech Monthly) & the community (articles, Meetups)

 About You

User-focused & outcome-oriented: You want to solve high-impact business problems & deliver value to our users in production
Leadership: Through your past leadership experience, you demonstrated your ability to help people grow & work together on successful projects
Team Player: You are able to work collaboratively across departments: giving credible ETAs & meeting them, helping others…
Communication skills: You have effective communication skills, to build alignment & articulate purpose. As a remote-first team, good writing is key
Mastery: You have strong industry experience applying machine learning to fraud problems & building ML models for production. You care about the craft & champion high standards
Language: You are fluent in English
 
 
 
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