Risk Analytics and Modelling Analyst
On-site · Cuauhtémoc, Mexico City, Mexico
Cuauhtémoc, Mexico City, MexicoOn-siteFull TimeMid LevelNot SpecifiedEnterprise
Type
Full Time
Level
Mid Level
Education
Not Specified
Company size
Enterprise
Job Summary
Role focuses on developing industry-leading analytics to support intelligence and investigations in financial crime, delivering data-driven risk modelling, and iterating advanced techniques into operational systems. Responsibilities include promoting discovery and validation of analytic techniques, presenting strategic findings to senior stakeholders, and driving rapid experimentation to mitigate financial crime risks while ensuring regulatory scrutiny readiness.
Required Qualifications
- Intermediate-advanced mathematical background
- Desirable knowledge on basic data science
- Python programming focused on data analysis, highly required
- Strong data visualization and communication skills
- Familiar with technologies used in big data (Hadoop, Spark, BigQuery)
- Knowledge in analytics methodologies for AI/ML (supervised/unsupervised learning, LLMs)
- Basic understanding of harms associated with financial crime
- Ability to adapt in an innovation-focused environment
- Excellent communication and inter-personal skills
- Problem solving ability
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