Lead Machine Learning Engineer - remote friendly

Key Skills

C Programming, C++, Cloud computing, Data science techniques, Java Programming, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

As a Lead Machine Learning Engineer, you will be collaborating closely with Simon, our Senior Lead Data Products. You will lead and grow the Fraud/Risk Team in charge of the fraud detection and 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 and high-impact machine learning issue in our sector as a FinTech company.

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 on implementing and taking Machine Learning models into production in product-driven & cross-functional teams. Simon also has a true passion for mentoring and coaching the team..

As a Lead Machine Learning Engineer at Qonto, you will

• Recruit, build and manage a team of 3 to 6 applied Machine Learning Engineers
• Foster collaboration with Engineering and Product leads to define a vision and 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 and using the best engineering practices
• Hire the best talents to build a collaborative, inclusive, and supportive team culture
• Orient and support your team through regular feedback, 1:1 sessions, pairing sessions, mentoring, and quarterly progress reviews
• Design, build, test, document, run, review and 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 and improve features used by 220K+ clients across Europe
• Participate in the decision-making process, based on qualitative/quantitative data.
• Keep learning and improving: 4 weeks dedicated to specific training, budget for 1 conference every year and for books, online training..., and practices showcasing continuous improvement
• Share knowledge among the whole tech and product team (Internal and external talk, Weekly meetings, Tech Monthly) and the community (articles, Meetups)

About You

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