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.
Knowhow and expertise create the good conditions to develop in Portugal the Hub Analytics. To start building the team:
Junior Data Scientist ? Scoring Centre (M/F) ? Lisboa
#Models#Data#Scores#
In practice, your day-to-day
You are undertaking projects to build risk prediction models:
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, analyse and explain the results;
You lead the project, keep track of the schedule and support the implementation and monitoring of the tools issued. You develop the code which is compliant with the IT standards for the model industrialization in the decision systems;
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 analysing 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 Centre: technological and methodological watch, regulatory watch, training, analytical support for the Group's international entities.
The Mission is important, but the Work Environment is also important!
Within BNP Paribas Personal Finance Central Risk Department, Scoring Centre team is responsible for the relevance of risk rating models used within all local entities and for maintaining a high level of expertise with integrating new statistical techniques in new modelling environments.
The Scoring Centre is a multi-cultural team of 30 people having various experiences and careers
You operate in a formal and informal working environment, a friendly environment designed to make the collaborating experience as pleasant as possible.
BNP Paribas Personal Finance is the subsidiary of the BNP Paribas Group, No. 1 on the financing of individuals in France and in Europe and has 20,000 employees. You want to know all the reasons for joining us? Go to: https://www.bnpparibas-pf.com/
What do we have to offer you?
You will learn more about modelling through different techniques (logistic regression, random forest, gradient boosting ?), different programming languages (mainly Python), different contexts (regulatory, business decision-making).
After two years within the Scoring Centre, you will be able to supervise interns, to provide training, and also to carry out analytical support during missions within local entities.
You will work closely with Risk teams in all the countries of BNP Paribas Personal Finance and with the local / central IT departments on model industrialization.
Are you the one we are looking for?
You have a strong scientific background and a few years (less than 3 years) of successful experience in a statistical / data science environment (preferably in a banking environment)?
You are proficient in Python programming and you have a strong knowledge of the main data science libraries and have already experienced machine models industrialization.
You are able to work on several projects in parallel and are acknowledged for your accuracy
Are you comfortable communicating orally and in writing with different interlocutors and sharing information?
Are you doing everything you can to achieve your goals?
Do you speak English? French can be a plus.
If you have all this, a lot of desire, energy and good mood, then you are the one we are looking for ...
We look forward to your application!
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