Data Scientist, Predictive Modeling in Credit Risk - SCF HQ

Santander USA; Boadilla del Monte; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A leading financial services company is seeking a Data Scientist focused on Predictive Modelling in Credit Risk. This role involves developing, monitoring, and maintaining various risk models. The ideal candidate will have 2-4 years of experience in financial modelling, strong programming skills, and a quantitative educational background. Join us in transforming the financial sector while working in a multicultural environment.

Formación

• 2-4 years of experience in modelling in Finance or similar.
• Data Science or Big Data knowledge required.
• Knowledge in Credit Risk or Operational Risk is valuable.

Responsabilidades

• Develop, monitor, and maintain credit risk models.
• Analyze risks and prepare monitoring reports.
• Ensure proper maintenance and adaptation of models.

Conocimientos

Fluent English

Programming skills in SAS

Programming skills in Python

Programming skills in R

Project management skills

Teamwork

Adapting to multicultural environments

Educación

Quantitative education (Engineering, Physics, Maths)

Master in Finance or Data Science

Descripción del empleo

Overview

Data Scientist, Predictive Modelling 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

At Santander (www.santander.com) we are key players in the transformation of the financial sector. Do you want to join us?

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.

We need someone like you to help us in different fronts:

• 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.
• 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.
• 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 on a proper and timely manner.
• 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.).
• 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; multicultural environments

If you want to know more about us, follow us on https://es.linkedin.com/company/banco-santander