Machine Learning Intern

Paris

Qonto

A business account - and much more. ✓ Invoicing ✓ Bookkeeping ✓ Expense management ✓ Financing | 7/7 customer support

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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 450,000 customers. Thanks to our wonderful team of 1,400+ Qontoers, we also made it to the LinkedIn Top Companies French ranking!
Our values:Customer focus | Prioritize customers in everything you doOwnership | Own your part, get things doneTeamwork | Make (team)work easyMastery | Continuously raise the barIntegrity | 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.
As a Machine Learning Intern at Qonto, you will be performing quantitative studies that would help Qonto to manage its risk. You will be a key element of the team, that will provide support to other teams of the Risk and Compliance department with your technical skills in data. You will also participate to standardize and automatize binary classification models. You will test your classification tool on real data. Furthermore, you will be integrated into the Risk function, and will directly report to Gauthier Marquand.
👩‍💻 🧑‍💻 As a Machine Learning Intern at Qonto, you will:
- Write Modeling guidelines. You will work alongside different teams such as Data, and Risk; to write modeling guidelines on binary classification that will help Qonto standardize its modeling practices. For example feature selections, hyperparameter tuning, EDA…;
- Build a classification tool. You will help the quantitative risk team by providing a Python library to automatize specific tasks of the modeling process. The tool should follow the modeling guidelines you will have defined. You should also provide templates to ease the tool integration.
- Improve Risk Models. You will apply your classification tool to the risk models to see if it brings value to our current setup. You will also be encouraged to try innovative approaches to increase our model performances.
🤔 What you can expect:
- Write modeling guidelines that respect the state of the art. The guidelines should be clear and not subject to interpretation.
- Create a Python package with a high-quality level. That fits all the needs without performing manual adjustments.
- Create statistical models that help to quantify the risk at Qonto: for example fraud risk, credit risk and business model risk;
🤝 About your future manager:
- His path: You will directly report to Gauthier, a seasoned financial risk management professional with over a decade of experience. Gauthier's background spans consulting and Big banks, featuring a pivotal role at Société Générale as a Model Auditor, followed by his current position as a Lead of the Quantitative Risk team at Qonto since January 2023. His expertise ensures a comprehensive understanding of risk challenges and innovative solutions.
- What he brings to the team: Gauthier offers a deep understanding of quantitative risk analysis, strategic financial risk management, and fosters innovation. His fintech and banking sector experience ensures a comprehensive approach to challenges, making him instrumental in developing sophisticated risk management strategies at Qonto.
🏅 About You:
Education: You have a Master’s degree, with a specialization in Data Science, Machine learning or statistics.
Mastery: You master Excel, SQL, and Python with a deep understanding of binary classification problems.
Languages: You are native or fluent in English, French would be a plus.
Hyper-growth environment: You are comfortable working in a fast-paced, entrepreneurial environment, where deliverables and priorities rapidly evolve.
Analytical mind: You have strong analytical skills and a critical mind, and you are able to present the findings of your work to any type of audience.🎁 Perks
A tailor-made and dynamic career track. An inclusive work environment. And so much more to help you succeed.
- Offices in every country to welcome you anytime you want (France, Germany, Spain, Italy and Serbia);- Tailor-made remote work policy depending on the job you apply for;- Competitive salary package;- A meal voucher;- Public transportation reimbursement (part or global);- A great health insurance (depending on the country);- Employee well-being initiatives: access to Moka Care to take care of your mental health and great offers for sports and wellness activities;- A progressive disability, and 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;- Monthly team events.
💪 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 🤞

To learn more about us:Qonto's Blog | Les Échos I L'Usine DigitaleCourrier Cadres

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Tags: Banking Classification Consulting Credit risk EDA Excel FinTech Fraud risk Machine Learning Python SQL Statistics

Perks/benefits: Career development Competitive pay Health care Insurance Team events Wellness

Region: Europe
Country: France
Job stats:  118  38  0

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