Data Scientist, Predictive Modeling in Credit Risk - SCF HQ at Santander

Boadilla del Monte, Community of Madrid, Spain

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Banking, Financial Services, Consumer FinanceIndustries

Requirements

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

Responsibilities

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

Skills

Key technologies and capabilities for this role

Predictive ModelingStatistical ModelingCredit Risk ModelingModel DevelopmentModel MonitoringFraud DetectionStress TestingRegulatory ComplianceData QualitySecuritization

Questions & Answers

Common questions about this position

What is the salary for this Data Scientist position?

This information is not specified in the job description.

Is this role remote or office-based, and where is it located?

The position is based in European offices, specifically Madrid based at SCF HQ in Spain.

What are the main responsibilities for this Data Scientist role?

Responsibilities include developing, monitoring, and maintaining credit risk models (admission, behaviour, fraud, etc.), analyzing model performance, ensuring model maintenance and governance, and participating in transformation projects.

What is the company culture like at Santander Consumer Finance?

Santander offers equal opportunities regardless of gender identity, culture, and disability, with a mission to help more people and businesses prosper, while being key players in the financial sector's transformation.

What makes a strong candidate for this Data Scientist role?

A strong candidate has expertise in predictive modeling and statistics for credit risk, experience developing and maintaining risk models according to regulatory standards, and the ability to handle model monitoring, governance, and transformation projects.

Santander

Provides banking, investment, and insurance services

About Santander

Santander Bank provides a variety of financial services to individuals, small businesses, and large corporations in the United States. Its offerings include savings and checking accounts, loans, credit cards, and investment products. The bank also has specialized services through Santander Investment Services and insurance products via Santander Securities LLC. Santander stands out from its competitors by focusing on community growth, committing $13.6 billion to support initiatives like the 'Cultivate Small Business' program, which aids early-stage entrepreneurs, especially from underrepresented groups. The bank generates revenue through interest on loans, service fees, and commissions, while promoting responsible banking practices and financial education. Santander's goal is to empower individuals and businesses, enhance community prosperity, and provide comprehensive financial solutions.

Boston, MassachusettsHeadquarters

1902Year Founded

$75MTotal Funding

POST_IPO_DEBTCompany Stage

Fintech, Financial ServicesIndustries

10,001+Employees

Benefits

Health, dental, & vision

401k

Flexible PTO

Parental & sick leave

Discounts: technology, travel, auto, fitness, & tuition

Risks

ISO 20022 transition may challenge smaller business partners.

'Quishing' attacks pose a growing threat to consumer security.

Openbank faces competition in the U.S. high-yield savings market.

Differentiation

Santander's Openbank offers a 5.00% APY high-yield savings account nationwide.

The bank's Inclusive Communities Plan pledges $13.6 billion for community initiatives.

Santander's ISO 20022 adoption enhances operational efficiency and data management.

Upsides

Openbank's high-yield savings account attracts more U.S. customers.

Santander's renewable energy financing highlights commitment to sustainable investments.

Proactive cybersecurity measures enhance customer trust and protect digital assets.

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