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Data Scientist - SCF
Country: Spain
**WHAT YOU WILL BE DOING**
**Santander Consumer Finance is looking for a Data Scientist based in our Boadilla del Monte office.**
**WHY YOU SHOULD CONSIDER THIS OPPORTUNITY**
**Santander Consumer Finance **focuses on business development related to consumer finance products, sales channels and commercial agreements with dealers, vehicle manufacturers or retail distribution establishments, as well as commercial functions associated with direct sales (branches, call centers or digital channels) and indirect sales (through third parties) of consumer finance products.
Santander is proud of being an organization where there are equal opportunities regardless of gender identity, culture and disability. Our mission is to contribute to help more people and business prosper.
**WHAT YOU WILL BE DOING**
As a **Data Scientist **you will develop, monitor and maintain parameters models to be used in the calculation of capital and provisions.
We need someone like you to help us in different fronts:
- Monitoring of risk models performance and report: execute and/or support the execution of monitoring reports; analyze the results of the monitoring on a proper and timely manner, proposing the actions which are needed in each case.
- Maintenance of Risk models: assure an adequate maintenance of models in force executing the actions which are needed in each case (recalibrate, adjust, time window updates, etc) according to the results of the models monitoring, internal standards and different sponsor’s needs.
- Transformation and evolution projects: participate in local and global projects related to the digital transformation strategy in SCF (Data as a Service, migrations to new platforms, industrialization/automation, etc).
EXPERIENCE
- 2-3 years of experience in modelling in Finance field or similar needed.
EDUCATION
- Engineering, Physics, Mathematics, Statistics, Economics.
- Master in Quantitative Finance / Data Science / Big Data or similar.
SKILLS & KNOWLEDGE
- Knowledge of Data Science/Big Data needed.
- Knowledge of Credit Risk parameters, products, etc.
- High level of programming skills in different languages (SAS, Python, R, etc.) and cloud computing platform Amazon Web Services (AWS) knowledge.
- Fluent English (C1), spoken and written.
