Present in more than 30 countries, BNP Paribas Personal Finance leads the personal and consumer credit business. In some markets we are leaders, and we bet on innovation to open up new opportunities, in others we are a fast growing business. In all markets, we value relationships, knowledge sharing and responsible action
In practice, your day-to-day
- As a Data Scientist in the Scoring Center team, you will undertake projects to build risk prediction models. Your main responsibilities will be:
- As part of your modelling projects, you assess the needs expressed, define and propose the adapted deliverables and estimate their burden and time frame through an implementation plan that takes into account the challenges and constraints. You use statistical modelling methods (such as Logistic Regression, Random Forest, Gradient Boosting…), analyze and explain the results
- You lead the project, keep track of the schedule and support the implementation and monitoring of the tools issued
- As part of the monitoring and optimization of the BNP Paribas Personal Finance score models, you participate in the monitoring campaigns of the scores: generation and analysis of monitoring results, diagnosis and action plan
- You are also responsible for conducting or analyzing statistical studies related to risk prediction models. If necessary, you take part in analytical support missions to the Group's international entities and in the processing of audit recommendations relating to the Basel regulatory project
- In addition, you actively contribute to the transversal missions of the Scoring Center: technological and methodological watch, regulatory watch, training, analytical support for the Group's international entities
The Mission is important, but so is the Team and the workplace!
- Welcome to BNP Paribas Personal Finance, where you will integrate the Analytics Hub, an innovative, international and creative team. Our working language is English
- You will be in the Scoring Center teams that are made up of 30 Data Scientists that will work with you. The team in Lisbon is new and everyone is growing together. You'll be surrounded by colleagues working in the same field as you, sharing ideas and experiences
- We are prepared to welcome you with an initial onboarding plan, with on-the-job training, online learning and networking opportunities
What do we have to offer you?
- This is a very important topic that we will address together, taking into account your training and experience.
Are you the one we are looking for?
- Do you have a Degree in Data Science, Mathematics or Statistics?
- Do you have a scientific background and at least 2 years of experience in a statistical/risk environment (preferably in a banking environment)?
- Do you have good skills in Python?
- Are you proficient in modelling environment or data lab and have a strong knowledge of the main data science libraries?
- Do you have experience in machine models industrialization?
- Are you able to work on several projects in parallel and are acknowledge for your accuracy?
- Are you fluent in oral and written English?
- If you recognize yourself in this description, and have a lot of enthusiasm, energy and motivation, then you are the one we are looking for!
- We look forward to your application!
Our commitments
- BNP Paribas is an equal opportunity employer that is proud to provide equal employment opportunities to all job seekers. As a socially responsible company, we incorporate the principles of Diversity and Inclusion in our values and practices
- To achieve all our goals, we intend to attract, develop, and retain different profiles, assuming diversity as an enabler and differentiator of innovation, fundamental in our organization
What makes us proud as reference employer?
- Top Employer Portugal and Top Employer Europe certification, for the seventh consecutive year
- 92% of our employees identify BNP Paribas as a company with "an inclusive management that supports all kinds of differences (age, origins, sexual orientation ...)"
- 93% of employees identify with and benefit from the "Smart Working" policy, feeling comfortable in a hybrid work environment, and with the digital tools and workspaces available
- 71% of our customers are promoters of our brand
