Data Scientist, Predictive Modeling, Madrid

Santander; Madrid; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A leading financial institution is seeking a Data Scientist for their Madrid office. You will be responsible for developing and maintaining risk models in Credit Risk, requiring 2-4 years of experience in financial modelling, strong programming skills in Python and R, and a quantitative education. The position entails monitoring model performance and ensuring governance in model processes, contributing to their digital transformation strategy.

Formación

• 2-4 years of experience in modelling in Finance or similar.
• Knowledge of Credit Risk, Operational Risk, and Market/ALM is valuable.
• Experience with Data Science/Big Data.

Responsabilidades

• Develop and maintain risk models for Credit Risk.
• Monitor risk models performance and analyze results.
• Ensure governance in risk model processes.

Conocimientos

Fluent English (C1)

Programming skills (SAS, Python, R)

Project management skills

Teamwork in multicultural environments

Educación

Master in Finance or Data Science

Quantitative degree (Engineering, Physics, Maths, etc.)

Descripción del empleo

Overview

Data Scientist, Predictive Modeling

Data Scientist, Predictive Modeling in Credit Risk - SCF HQ

Country : Spain

SCF Headquarters Models is looking for a Data Scientist, Predictive Modelling and Statistics in Credit Risk based in our European offices (Madrid based).

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, Predictive Modelling and Statistics in Credit Risk you will develop, monitor and maintain models, with a first focus in Credit Risk models in Santander Consumer Finance.

Responsibilities

1. Development of risk models (admission, behaviour, fraud, propensity / affordability, stress, capital, provisions, residual value, etc.): plan and execute models workplans agreed with different sponsors; develop models according to internal standards and guidelines, different sponsors needs and regulatory requirements, subject to data availability and data quality; document and deliver the materials according to internal Group / local standards; support / participate during implementation phase (pre-production, allocation, etc.); securitization processes support etc.
2. Monitoring of risk models performance and report: execute and / or support the execution of monitoring reports; analyze the results of the monitoring in a proper and timely manner, proposing the actions which are needed in each case.
3. Maintenance of Risk models: assure an adequate maintenance of models in force; execute 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 sponsors needs.
4. Governance of risk models: accompany the governance processes and supervisory exercises (Internal Validation, Internal Audit, ECB / NCAs), assuring that the recommendations / obligations related to the development and maintenance of models are met in a proper and timely manner.
5. Transformation and evolution projects: participate and / or sponsor local and global projects related to the digital transformation strategy in SCF (Data as a Service, migrations to new platforms, bottom-up approaches in stress models, industrialization / automation, etc.).
6. Adaptation of standards and guidelines to SCF idiosyncrasy and propose new ones for digital approaches.

EXPERIENCE

2-4 years of experience in modelling in Finance field or similar needed; Data Science / Big Data needed; Credit Risk, Operational Risk and Market / ALM knowledge valuable; expected loss valuable.

EDUCATION

Quantitative education oriented (Engineering, degree Physics / Maths / Programming / Statistics / Economics / Insurance), master in Finance, Quantitative Finance, Data Science / Big Data / Machine Learning / Artificial Intelligence / Digital Transformation

SKILLS KNOWLEDGE

Fluent English (C1), spoken and written; high level of programming skills in different languages (SAS, Python, R, Others); project management skills valuable (PMI, Agile, etc); team work in multicultural environments

Python, R