Senior ML Engineer - Fraud

Our mission? Creating the freedom for SMEs to succeed in business and beyond, by delivering Europe’s leading finance workspace. We combine business-class tools (seamless invoicing, spend management, and pre-accounting) with unwaveringly attentive 24/7 support, designed to help businesses breeze through all things finance.

Our journey: Founded by Alexandre and Steve in July 2017, Qonto has rapidly gained trust, serving over 600,000 customers. Thanks to our wonderful team of 1,600+ Qontoers, we also made it to the Linked In 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 55% 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.

Are you a talented Machine Learning Engineer ready to make a significant impact? Qonto invites you to join our dynamic Fraud Security team
, working alongside experienced ML Engineers to create, deploy, and train powerful machine learning models.

Your mission? Elevate our fraud detection capabilities and ensure the security of Qonto's clients' assets by staying ahead of sophisticated fraudsters.

As a Machine Learning Engineer at Qonto, you will:

• Develop and implement risk assessment models, including enhancing our recently launched model for evaluating organizational scam risk.
• Apply your expertise in Python, SQL, and ML libraries to enhance predictive modeling and feature engineering.
• Contribute to the entire development cycle, from modeling and development to production deployment, infrastructure management, and incident handling.
• Collaborate on projects ranging from simple expert rules to advanced machine learning and generative AI applications.
• Strengthen the team's machine learning capabilities, complementing existing data product skills.
• Mentor junior team members and contribute to the team's growth and knowledge sharing.
• Engage in full-stack data engineering to craft robust ETL processes and maintain clean, structured data tables.
• Take full ownership of the ML infrastructure, utilizing tools like Kubernetes and AWS for efficient model deployment.
• Continuously improve existing models, balancing the creation of new solutions with the optimization of our current systems.

About your future Manager: You will work closely with Jérémy, our Lead Machine Learning Engineer. He leads the risk scoring and anti-fraud team with a pragmatic, results-oriented, and caring management style. He empowers team members to take ownership of their projects while providing support through weekly one-on-one meetings and open communication. He believes in fostering growth, encouraging skill development, and maintaining a trust-based environment where feedback is valued and micromanagement is avoided.

What you can expect:

• Team Context: Join an autonomous, cutting-edge team combating financial fraud.
• Work Environment: Fast-paced, asynchronous, decisive setting, emphasizing analysis and engineering excellence.
• Tools in Action: Utilize top-notch infrastructure—Kubernetes, AWS, Postgre
  
  SQL, Snowflake, and Kafka—for efficient development.
• Building Everything: Play a crucial role in shaping a startup-like ecosystem within our scaleup, contributing from the ground up.
• Ownership: Master the entire process, own the roadmap, and foster openness to innovative ideas.
• Impactful Role: Make a strong, visible impact, reporting directly to the Leadership team, shaping the future of our mission.

With Qonto's rising profile attracting increasingly sophisticated threats, every day brings new challenges to solve.

About You

• Mindset: You naturally explore the data before building any model, you are proficient in feature engineering techniques to extract meaningful insights from…