Data Scientist Analyst

hace 3 semanas

Boadilla del Monte, España Santander A tiempo completo

Data Scientist Analyst

Country: Spain

**WHAT YOU WILL BE DOING**

**Banco Santander is looking for a Data Scientist Analyst, based in our Boadilla del Monte office.**

**WHY YOU SHOULD CONSIDER THIS OPPORTUNITY.**

Credit Risk, Interest Rate Risk, liquidity risk, operational risk, reputational riskThere are many types of risks, that's why it analysis and quantification is key for our purpose of being a Simple, Personal and Fair bank. Working on risks means doing it from a management perspective that contributes to the sustainable progress of people and companies. 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 Analyst **, you will help us in different fronts:

- Designing, building, implementing and supporting the productivization of cutting-edge quantitative models on the grounds of the fields of Statistics (Xtreme Value Theory and Bayesian and Frequentist Statistics and econometrics) and Artificial Intelligence (Natural Language Processing, random forests, XGBM and clustering techniques) to measure the most relevant non-financial risks: Operational, Reputational risks and working on recommender systems for recruiting.
- You will be in charge of figuring out the economic capital and risk appetite figures on a regular basis (key figures for managerial and regulatory purposes) and the stress test on a bannual basis, so knowledge on all these concepts will be very valued.
- You will be working with all the local units within the Group and the Local and Global Internal Validation teams. The Xtreme value theory will be your best quantitative friend at this environment.

EXPERIENCE
- From 1 year on.

EDUCATION
- Bachelor's degree or similar.

SKILLS & KNOWLEDGE
- Experience in modelling using Statistics /Econometrics or Artificial Intelligence techniques on different type of data.
- A resilient person.
- Technological skills.

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