Data Science Sr. Analyst

Toyota Financial Services México; Ciudad de México; Híbrido; MXN 40,000 - 80,000; Jornada completa

Descripción de la vacante

An innovative firm is seeking a Sr. Data Science Analyst to join its dynamic AOR Data Science Team. This role focuses on extracting value from data and translating complex analytics into actionable insights that drive key business decisions in credit risk, collections, and portfolio management. The ideal candidate will have a strong background in financial modeling and data science, with proficiency in Python and SQL, and experience in developing predictive models. If you are passionate about data and eager to make an impact in a collaborative environment, this opportunity is perfect for you.

Formación

• 3+ years of experience in financial modeling and data science projects.
• Proficiency in Python and SQL for data manipulation and analysis.

Responsabilidades

• Extract and clean data for advanced analysis using Python and SQL.
• Develop predictive models and translate insights into recommendations.

Conocimientos

Python

SQL

Data Visualization

Statistical Analysis

Machine Learning

Communication Skills

Educación

Bachelor’s degree in Actuarial Science

Master’s or Ph.D. in related fields

Herramientas

Tableau

Power BI

Descripción del empleo

At Toyota Financial Services México, we’re looking for a Sr. Data Science Analyst to join our regional AOR Data Science Team, a dynamic group supporting Toyota’s financial operations in 8 markets. This team acts as an internal consulting unit focused on the development, monitoring, and validation of financial models with high business impact.

What’s the purpose of this role?

To extract value from data and translate complex analytics into actionable insights that support key business decisions in areas like credit risk, collections, acquisition, and portfolio management — across markets and business units. Your responsibilities will include:

• Partnering with stakeholders to understand business challenges and drive data-based decisions.

• Extracting, manipulating, and cleaning data using SQL and Python for advanced analysis.

• Developing or validating predictive models (IFRS9, acquisition, credit, behavioral) using advanced statistical and machine learning techniques.

• Translating insights into recommendations through compelling data visualizations (e.g., Tableau, Power BI).

• Participating in project planning and mentoring junior analysts on best practices.

• Ensuring quality standards and documentation of modeling processes.

What we’re looking for:

• 3+ years of experience in financial modeling, credit risk analysis, or data science projects.

• Proficiency in Python and SQL.

• Experience with modeling techniques such as regression, decision trees, time series, and deep learning.

• Bachelor’s degree in Actuarial Science, Applied Math, Data Science, Econometrics, Physics, Engineering, Finance, or similar.

• Preferred: Master’s or Ph.D. in related fields.

• Strong communication and presentation skills.

• Proficiency in English, both written and spoken, essential for collaboration with regional stakeholders.

• A proactive mindset, international perspective, and openness to working on a hybrid model with occasional travel (<10%).

Location: Mexico City (Hybrid model)

Apply here: [e-mail]