The role focuses on performing mathematical and statistical analysis to improve credit origination quality and prevent fraud at Santander Mexico
Job Summary
The role focuses on performing mathematical and statistical analysis to improve credit origination quality and prevent fraud at Santander Mexico.
Candidates will utilize tools like SAS, Python, SQL, and PowerBI to forecast fraud budgets and generate daily alerts for the management team.
The company offers a competitive salary with performance bonuses, hybrid work flexibility, and extensive financial benefits including gym memberships and meal subsidies.
Matching Summary
The role focuses on performing mathematical and statistical analysis to improve credit origination quality and prevent fraud at Santander Mexico.
Salary
Competitive salary; Performance-based bonuses; Financial benefits including preferential banking rates and life insurance
Skills & Requirements
Must-have
SAS programming for data analysis
Python and SQL for fraud detection
PowerBI reporting and KPI generation
Statistical forecasting of fraud budgets
Advanced Excel for data manipulation
Nice-to-have
Intermediate English language skills
R programming for statistical analysis
Disruptive thinking and innovation mindset
Collaborative multicultural team environment
Key Requirements
Minimum 1 year experience in similar role
Bachelor's degree in Actuarial Science, Math, Engineering, or Data Science
Mandatory proficiency in SAS, Python, SQL, R, and Advanced Excel