Decision Strategy and Statistical Analysis Specialist

Decision Strategy and Statistical Analysis Specialist Country:
Spain
** IT STARTS HERE
** Santander () is evolving from
** a global, high-impact brand
** into a
** technology-driven organization**, and our people are at the heart of this journey.
** Together**, we are driving a
** customer-centric transformation
** that values bold
** thinking, innovation**, and the
** courage to challenge
** what’s possible.

This is more than a strategic shift.
** It’s a chance for*
* ** driven professionals*
* ** to grow, learn, and make a real difference**.Our mission is to contribute to help more
** people and businesses prosper**. We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management.
** 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.
** THE DIFFERENCE YOU MAKE
**** Santander Consumer Finance
** is looking for a
** Specialist at Decision Strategy and Statistical Analysis for the Credit Risk Department
** based in our Boadilla del Monte (Madrid) office.

We’re
** shaping the way we work
** through innovation, cutting-edge technology, collaboration and the freedom to explore new ideas. To succeed in this role, you will be responsible for:
* Delivering AWS-based AI/ML, data engineering and data science solutions supporting credit risk decision processes.
* Managing credit risk decisioning ecosystems, including Provenir risk engine, databases, and analytical environments.
* Parameterizing, maintaining, and optimizing risk decision strategies across different portfolios within Santander Digital Bank countries.
* Designing and implementing data-driven credit risk strategies and frameworks aligned with organizational and portfolio objectives.
* Supporting technological initiatives impacting Credit Risk Decision Strategy and Statistical Analysis capabilities.
* Developing and maintaining automated ETL-based monitoring processes covering the end-to-end admission process including data quality, admission performance, and decision engine accuracy.
* Collaboration with cross-country teams to integrate risk management practices across the organization.
* Supporting continuous improvement and automation of credit risk decision process through analytics and innovation.
** WHAT YOU’LL BRING
** Our people are our greatest strength. Every individual contributes unique perspectives that make us stronger as a team and as an organization. We’re
** enabling teams to go beyond
** by valuing who they are and empowering what they bring.

The following requirements represent the knowledge, skills, and abilities essential for success in this role. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
** Professional Experience
*** Minimum 6 years of experience in credit risk analytics, modelling, decision strategy, or statistical analysis within banking, consumer finance, or fintech environments (Required)
* Experience working with credit risk decisioning ecosystems (Provenir, FICO, Experian, etc.) and risk strategy implementation across multiple portfolios. (Required)
* Experience operating within international and cross-country financial institutions. (Preferred)
** Education
* ** Maste’s degree in Mathematics, Physics, Statistics, Data Science, Computer Science, Econometrics, or another quantitative discipline.  (Required)
* Additional certifications or advanced qualifications in risk management, AI/ML, or analytics are advantageous. (Preferred)
** Languages
* ** C1/Fluent English, written and spoken. (Required)
* Additional EU languages are considered an advantage. (Preferred)
** Hard Skills
*** Strong programming and analytical skills in Python, SQL, R, SAS or equivalent analytics tools. (Required)
* Hands-on experience working with AWS ecosystem and advance…