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Data Scientist - Credit Scoring (F/M)

At Younited, we believe money allows people to purchase goods & services and realize their dreams, but today’s banking products are opaque & overly complex.

 

Here, we leverage innovation & cutting-edge technology to redefine lending and payment practices, to provide exceptional user experience

 

More than a million customers already had access to our instant, simple & transparent credit, and we are just getting started.

 

We both provide credit & payment solutions directly to consumers (Younited Credit / Younited Pay) & via partners (banks, fintech & insurers who wish to develop consumer loan activities and retailers, telcos, e-merchants who wish to offer their customers the simplest method to pay in several times). We also provide budget optimization solutions through “Younited Coach” to all consumers willing to receive personalized recommendations.

 

Our mission is to become your trusted financial partner. In this respect, our strategy aims at promoting more transparency and more inclusiveness to help you achieve financial wellbeing.

 

We have initiated a B-Corp certification process, our social and environmental impact being at the heart of our strategic concerns.

 

So join Younited, the leading instant credit provider for the e‐economy in Europe! Be part of an amazing adventure that is only at its beginning…

 

Some key figures about Younited group:

·        Younited operates in 4 European countries and generates nearly 50% of its business outside France.

·        The company has raised more than 330m€ in equity since launch.

·        Younited employs more than c. 550 Younies in Paris, Rome, Barcelona and Lisbon.

 

Younited is already trusted by prestigious E-merchant and Digital Bank partners among which Free, Bouygues Telecom, Orange Bank, Microsoft, Bpifrance, Apple, N26, Fortuneo and Lydia.

 

Our 5 corporate values drive our daily job:

·        Make it simple: At every level of the customer experience, the organization. Be transparent.

·        Act as an entrepreneur: Take ownership, work in teams. Dare to try, accept to fail.

·        Innovate or die: Challenge the status quo, no matter how impossible it seems.

·        Faster is better: Value speed over perfection. Be aligned on priorities.

·        No limit: Shot for the moon, stay humble.

 

We empower passionate problem-solvers to collaborate, innovate and do their best work.

We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our customers and our partners. And we need your help. So, join us to build tomorrow, today.


If you want to know more, click here: https://younited.com/about-us/careers/


📋 Context


As a Data Scientist specializing in Credit Modelling, you will be a key member of the Credit Portfolio Management team, reporting to our Senior Data Scientist and driving improvements in consumer loan origination quality and risk assessment through advanced credit scoring methodologies.  

Credit scoring is a fundamentaldimension of Younited’score consumer loan business, ensuring robust risk management while maintaining profitability and supporting strategic partners like Bouygues, Apple, Microsoft, and ENPAL. These partners trust us to deliver precise credit risk models that enhance funding solutions and strengthen market presence. 


In this role, you will work on the development, deployment, and optimization of credit scoring models with a strong focus on ensuring high origination quality.  


Your responsabilities :
  • Model Development 
  • Build a robust and scalable approach to develop advanced, highly-performing credit scoring models tailored to maximize the risk reward. 
  • Leverage PSD2 (open banking) data and other alternative data to enhance predictive power and accuracy. 
  • Incorporate external data sources (e.g., credit bureaus, demographic data) to refine risk segmentation and improve decision-making. 
  • Address challenges such as defining objective metrics relevant to Younited, population alignment during periods of disruption (e.g., COVID-19, inflation), and creating models with limited observable data. 
  • Refine credit scoring development methodologies to align with the latest best practices and regulatory standards. 
  • Drive innovation in risk modelling techniques, utilizing machine learning and advanced analytics when relevant. 
  • Ensure continuous internal communication over projects’ roadmaps and best practices around the different uses of the score throughout the decision system. 

  • Model Deployment and Operational Integration 
  • Ensure seamless integration of credit scores into Younited's decision engines, enabling real-time risk-based decisioning. 
  • Deploy models on the platform in collaboration with ML Engineers, adhering to best practices and compliance standards. 
  • You will be working with an advanced technical stack, including a Python-based scalable development environment and a deployment environment leveraging Google Cloud Platform (GCP). 

  • Risk Monitoring and Continuous Improvement 
  • Conduct rigorous ongoing monitoring of credit score performance (e.g., expected vs. observed outcomes, population drift, and data quality). 
  • Identify limitations and propose enhancements to strengthen risk assessment and improve origination outcomes. 

  • Strategic Roadmap and Governance 
  • Contributes to the prioritization of the credit scoring roadmap by evaluating the impact on origination quality and overall business objectives. 
  • Collaborate with Model Risk Management to ensure compliance with internal governance and regulatory requirements. 


🫵 About your profile
  • You have a, engineering background or similar with a Master’s degree or PhD in a relevant field(statistics, machine learning or mathematics). 
  • You have 3+ years of experience in a credit risk modelling environment. 
  • You are proficient in SQL & Python 
  • You are energetic, enthusiast, rigorous and a team player. 


👥 Recruitment process​


- A first video chat with Aurélien, Talent Acquisition Manager, to get to know each other and tell you more about Younited, our corporate culture & values (30’)

- An Interview with Ashvini, your future manager to discuss about the role and expectations (60')

- Online Technical Test

- A Business Case to assess your skills (60')

- 2 meetings with Team Members (90')


🎁 Other benefits from joining Younited ?


- Offices in the center of Paris (9th)

- An international work environment and the opportunity to do a mission in one of our international offices (Barcelona, Lisbon, Roma)

- An entrepreneurship mindset and a teamwork spirit

- An individualized managerial and HR support during onboarding and throughout the Younited journey

- A continuous learning environment with the opportunity to take individual and collective trainings and "Friday workshops" in Tech department

- A particular attention to the work/life balance

- Support for young parents, including the opportunity of being part-time the week of return to the office

- Hybrid remote policy (until 2 remote days per week)

- 33 days of paid leave

- Luncheon vouchers worth €10, 60% paid by the employer

- Team buildings in France, internationally and within your team


Younited is an Equal Opportunity Employer for any minority, disability, gender identity or sexual orientation.

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What You Should Know About Data Scientist - Credit Scoring (F/M), Younited

Are you ready to embark on an exciting journey with Younited as a Data Scientist specializing in Credit Scoring? Based in the vibrant city of Paris, France, this role is all about using your analytical prowess to redefine lending and payment solutions. At Younited, we’re passionate about making finance simpler and more transparent, realizing our dreams one credit solution at a time. In this position, you’ll be a pivotal part of the Credit Portfolio Management team, reporting to our Senior Data Scientist. Your main focus will be to drive improvements in consumer loan origination quality and enhance risk assessment through innovative credit scoring methodologies. You'll have the chance to develop robust models using cutting-edge data sources including open banking data and external data, which will empower our partners like Apple and Microsoft to make informed financing decisions. Your responsibilities will range from model development to deploying these models into our decision engines, ensuring real-time, risk-based decisioning. Younited is not just about achieving financial success; we also care about making a social impact, as evidenced by our ongoing B-Corp certification process. If you're an enthusiastic problem solver eager to innovate in the credit scoring space, this is your opportunity to join a dynamic and inclusive team that values creativity and collaboration. Come help us build a brighter financial future for everyone!

Frequently Asked Questions (FAQs) for Data Scientist - Credit Scoring (F/M) Role at Younited
What are the main responsibilities of a Data Scientist - Credit Scoring at Younited?

As a Data Scientist specializing in Credit Scoring at Younited, your main responsibilities will include developing advanced credit scoring models, leveraging both open banking data and external sources to enhance predictive accuracy. You'll also be tasked with ensuring the seamless integration of these models into our decision engines, conducting ongoing risk monitoring, and collaborating with cross-functional teams to maintain compliance with internal governance and regulatory standards.

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What qualifications do I need to become a Data Scientist - Credit Scoring at Younited?

To qualify for the Data Scientist - Credit Scoring position at Younited, you should possess a Master’s degree or PhD in engineering, statistics, machine learning, or a relevant field. Additionally, a minimum of 3 years of experience in credit risk modeling and proficiency in SQL and Python are essential for this role.

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What is the work environment like for a Data Scientist - Credit Scoring at Younited?

The work environment for a Data Scientist - Credit Scoring at Younited is dynamic and collaborative, located in the heart of Paris. With a hybrid remote work policy, you'll enjoy flexibility in your work life. The culture emphasizes teamwork, innovation, and entrepreneurial spirit, fostering a continuous learning atmosphere where your contributions are valued.

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How does Younited contribute to employee development for Data Scientists?

Younited is committed to the development of its Data Scientists through individualized support during onboarding and ongoing training. You’ll have access to collective training sessions and workshops within the Tech department, ensuring that you continually enhance your skills and remain at the forefront of credit scoring innovations.

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What benefits can I expect as a Data Scientist - Credit Scoring at Younited?

As a Data Scientist - Credit Scoring at Younited, you'll enjoy several benefits including 33 days of paid leave, luncheon vouchers, and a hybrid work policy. Additionally, you'll have opportunities for international missions, participate in team-building activities, and benefit from a particularly supportive work-life balance, especially for young parents.

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Common Interview Questions for Data Scientist - Credit Scoring (F/M)
Can you explain your experience with credit risk modeling and how it relates to the Data Scientist - Credit Scoring position at Younited?

When responding to this question, explain your previous roles related to credit scoring, detailing specific projects you worked on. Highlight your technical skills—especially in using SQL and Python—and how you’ve applied machine learning techniques to improve risk assessment. Connect your experience to Younited’s goals of enhancing loan origination quality.

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How do you approach model development, especially in the context of credit scoring?

In answering this, discuss your systematic approach to model development, including identifying key variables, data sources, and methodologies. Mention the importance of performance metrics and continuous improvement measures, and showcase how your approach aligns with Younited's strategy of innovation and risk management.

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What techniques do you use to validate credit risk models?

When discussing model validation techniques, focus on the statistical methods you apply to assess model performance, such as back-testing, cross-validation, and stress testing. Highlight your ability to identify and mitigate population drift and ensure models remain relevant in changing economic conditions.

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Describe a challenging project you worked on related to data integration for credit scoring models.

Share a specific project about integrating diverse data sources for credit scoring, detailing the challenges you faced—such as data discrepancies or system limitations—and the solutions you implemented. Emphasize how this experience has prepared you for similar challenges at Younited, ensuring scalable and effective model deployment.

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How do you ensure compliance with regulatory standards in credit risk modeling?

To discuss compliance, explain your understanding of the regulatory landscape affecting credit scoring and risk assessment. Elaborate on the importance of working closely with Model Risk Management teams, ensuring that any models you develop adhere to internal governance and external regulations.

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What role does open banking data play in your credit scoring methodologies?

Discuss the transformative potential of open banking data for credit scoring, emphasizing how it enhances predictive capabilities. Share examples where you’ve successfully integrated this data type into your models, demonstrating your adaptability and forward-thinking approach.

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How would you approach continuous improvement in credit scoring models?

Elaborate on your methodical approach to continuous improvement, detailing the metrics you monitor post-deployment, such as outcome predictions versus actual performance. Discuss how you'll stay proactive in identifying model limitations and implementing relevant improvements to maintain high origination quality.

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In your opinion, what are the key trends currently shaping the credit scoring landscape?

Reflect on emerging trends like machine learning, the use of alternative data, and regulatory changes in the credit scoring landscape. Discuss how these trends impact risk assessment and showcase your awareness of how such influences could help inform your work at Younited.

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How do you collaborate with cross-functional teams in a fast-paced environment?

Share specific examples showcasing your teamwork skills in previous roles, detailing how you effectively communicated and collaborated with diverse teams, such as data engineers, compliance officers, and product managers, to successfully deliver projects on time.

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Why do you want to work at Younited as a Data Scientist - Credit Scoring?

Craft your response to reflect your passion for innovation and transparency in financial services, as well as your alignment with Younited's core values. Emphasize your eagerness to contribute to a company that prioritizes social impact and employee growth, aligning with your career aspirations.

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Full-time, hybrid
DATE POSTED
January 14, 2025

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