Data Analyst: Onboarding & FinCrime Analytics

Revolut Ltd; Ciudad de México; Hybride; MXN 450 000 - 750 000; Plein temps

Avantages offerts par ce poste

Financial benefits that show we value 

Flexibility to work from home, the off

A Revolut Metal subscription loaded...

Résumé du poste

Revolut Ltd in Mexico City is seeking a Data Analyst to join our Data Science team. You’ll dive into complex databases, write code, and design scalable solutions that move the business forward and improve how customers experience Revolut.

You’ll analyze onboarding and FinCrime workflows, build and maintain SQL queries and dashboards in Looker, monitor KPIs across KYC/CDD, AML, and related processes, and collaborate with Product, Operations, Compliance, Risk, and Data teams to translate problems

Qualifications

• 3+ years of experience in data analysis with actionable insights.
• Strong programming skills in Python or similar.
• Proven ability to build dashboards and monitor metrics.

Responsabilités

• Analyse onboarding and FinCrime workflows to identify trends and bottlenecks.
• Perform root-cause analyses across datasets to explain issues and quantify impact.
• Build and maintain SQL queries, datasets, and analytical tools to monitor onboarding and FinCrime.
• Define and monitor KPIs across KYC/CDD, onboarding, screening, AML, and related workflows.
• Develop dashboards in Looker to provide visibility of performance and emerging issues.
• Support investigations and remediation by profiling affected populations and validating fixes.

Connaissances

Python

SQL

Data analysis

Formation

Advanced degree in STEM

Outils

Looker

Description du poste

Revolut Ltd in Mexico City is seeking a Data Analyst to join our Data Science team. You’ll dive into complex databases, write code, and design scalable solutions that move the business forward and improve how customers experience Revolut.

You’ll analyze onboarding and FinCrime workflows, build and maintain SQL queries and dashboards in Looker, monitor KPIs across KYC/CDD, AML, and related processes, and collaborate with Product, Operations, Compliance, Risk, and Data teams to translate problems