Data Scientist Manager (Ciudad de México, Cuauhtémoc)

Analyze and structure complex business problems in global financial markets, transforming them into actionable quantitative solutions. Formulate, design, and validate advanced mathematical models and machine learning algorithms. Develop and program robust analytical code using Python and Spark (PySpark). Coordinate analytical projects from start to finish, managing scope, priorities, commitments, risks, dependencies, and delivery dates.

3+ years of practical experience in Data Science or Quantitative Analytics, directly involved in formulating and building mathematical or machine learning models. Bachelor's degree in Economics, Mathematics, Statistics, Actuarial Science, Physics, Engineering, or related quantitative fields. Advanced proficiency in programming and developing analytical solutions in Python and Spark (PySpark). Strong understanding of financial market products and dynamics, particularly currencies, bonds, and derivatives.

The position offers a hybrid work arrangement, requiring in-office attendance three days a week at the Torre BBVA Reforma. Candidates should have their updated CV ready for submission.