ROLE PURPOSE To collect, organize and interpret statistical information to transform to specific actions. You will also monitor performance and quality control plans to identify improvements. PRIMARY RESPONSIBILITIES
• Monitoring and analysis of credit portfolio and credit process efficiency.
• SQL data gathering and analysis, searching patterns.
• Conducting and analyzing A/B tests.
• Statistical analysis of portfolio performance.
• Risk KPIs monitoring and improvement actions preparation.
• Report’s creation and improvement.
• Collaborate closely with Data Science, Collections, Marketing, Product, and IT teams. KNOWLEDGE & SKILLS
• Strong analytical and mathematical skills and mind – at least 2 years of in credit risk, portfolio analytics, or scorecard development.
• Strong Knowledge of and experience with databases and statistics (SQL, Python) – at least 2 years of experience.
• Data visualization packages (Tableau, Looker, etc.).
• High attention to detail.
• Good organisational/time management skills.
• Team player.
• Numerical mindset and able to get insights out of data.
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.).
• Methodological way of working and ability to cope with competing demands and prioritize tasks accordingly. PREFERRED QUALIFICATIONS & EXPERIENCE
• Degree in Statistics or Mathematics or a related subject involving math’s, such as economics or data science.
• Fluent English
- spoken and written.
• At least 2 years of experience as Data Analyst / Credit Analyst within Risk Department.
• Ability to work independently and manage multiple priorities.
• Analytical and strategic mindset. BENEFITS ? Private health insurance ? Monthly Grocery Voucher ? Total Pass ? Freedom to work from home two days a week ? Team building activities and work in an international and passionate environment Don’t miss the opportunity to be part of a company that values innovation and talent Join us and take your career to the next level ?
📌 Risk Analyst (Ciudad de México)
🏢 ID Finance
📍 Ciudad de México
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