Sr. Analyst - Data Science (Credit Risk)

Location: Eagle, Mexico City, Mexico; hybrid work with in-person attendance at an assigned hirify.global office at least two days per week

Company

hirify.global provides credit bureau data, analytics, and decision intelligence solutions for financial institutions, fintechs, retailers, and other credit-granting organizations.

What you will do

• Design and deliver analytics consulting engagements covering risk management, customer acquisition, portfolio optimization, collections, and customer engagement.
• Develop insights and analytical solutions using credit bureau data, alternative data, client portfolio information, and market intelligence.
• Conduct exploratory data analysis, segmentation, benchmarking, performance monitoring, and portfolio diagnostics.
• Support the development, validation, implementation, and monitoring of models, scores, attributes, and decision strategies.
• Present findings through executive-level presentations, dashboards, reports, and business cases.
• Collaborate with commercial, product, technology, and client stakeholders to operationalize scalable analytics solutions.

Requirements

• At least 3 years of experience developing analytical, statistical, or machine learning models in financial services, credit risk, or consulting.
• Strong knowledge of statistics, probability, predictive modeling, and model performance evaluation.
• Hands-on experience with Python and/or R, plus advanced SQL skills for large datasets.
• Understanding of credit risk analytics and portfolio management.
• Experience with AWS, Azure, GCP, Databricks, Dataiku, or comparable analytics platforms.
• Bachelor’s degree in Statistics, Applied Mathematics, Actuarial Science, Economics, Financial Engineering, Data Science, or a related discipline.

Nice to have

• Experience managing analytical projects and stakeholder expectations.
• Consulting or client-facing analytics experience.
• Knowledge of model governance and validation practices.
• Experience working with credit bureau data and documenting methodologies or technical processes.

Culture & Benefits

• Hybrid work combining virtual collaboration with regular office presence.
• Work/life flexibility and resources supporting professional and personal well-being.
• Opportunities for professional development, career growth, innovation, and cross-functional collaboration.