Senior Machine Learning Engineer

**Our mission**? Making day-to-day banking easier for SMEs and freelancers thanks to an online business account that's combined with invoicing, bookkeeping and spend management tools. Thanks to its innovative product, highly reactive 24/7 customer support and clear pricing, Qonto has become the leader in its market.

**Our journey**: Founded by Alexandre and Steve in July 2017, Qonto has rapidly gained trust, serving over 500,000 customers. Thanks to our wonderful team of 1,600+ Qontoers, we also made it to the LinkedIn 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 50% 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 **three 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.
- **Contribute to the entire development cycle**, from modeling and development to production deployment, infrastructure management, and incident handling.
- **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

**What about him:
Jérémy 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. Jérémy 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**: Experience a fast-paced, asynchronous, and decisive setting, emphasizing analysis and engineering excellence.

**Tools in Action**: Utilize top-notch infrastructure—Kubernetes, AWS, PostgreSQL, 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.

**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.

**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, CatBoost, and Scikit-learn. 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_**_._

**Perks**

A tailor-made and dynamic career track. An inclusive