Hybrid Credit Risk & Analytics Analyst

Santander; Madrid; On-site; EUR 45,000 - 65,000; Full time

Benefits offered by this job

Hybrid work

Meal subsidy

Gym membership

Healthcare

Job summary

Santander is seeking a Risk Control Analyst to join our Madrid office. You will analyze credit risk metrics, consolidate reports, and support risk monitoring across the Western Hub. This role blends risk management with analytics and technology to drive informed decisions.

The ideal candidate has +3 years in risk control, IFRS9 experience, and hands-on SQL, SAS or Python. Strong English and collaboration skills are essential.

Qualifications

• +3 years of experience in Risk Control and Monitoring (credit risk).
• IFRS9 models experience preferred.
• Experience in a local business unit is valuable.
• Bachelor’s degree in economics, business, engineering, science, technology or mathematics.
• High level of written and oral English.

Responsibilities

• Analyze and consolidate main credit risk metrics and other risks across Western Hub.
• Synthesize key messages for senior management and regulatory reports.
• Contribute to risk tech initiatives and AI-enabled risk projects.
• Coordinate local project implementation with owners and oversee progress.
• Perform month-end provisioning and forecasting.
• Conduct portfolio analyses to identify trends and opportunities.
• Communicate and coordinate with different departments and units.
• Produce automated reports and presentations for risk monitoring forums.

Skills

English communication

SQL

SAS

Python

MS Office

Education

Bachelor's degree in economics/business/engineering/science/math

Tools

SAS

Python

SQL

MS Access

Job description

Santander is seeking a Risk Control Analyst to join our Madrid office. You will analyze credit risk metrics, consolidate reports, and support risk monitoring across the Western Hub. This role blends risk management with analytics and technology to drive informed decisions.

The ideal candidate has +3 years in risk control, IFRS9 experience, and hands-on SQL, SAS or Python. Strong English and collaboration skills are essential.