Credit Risk ML Scientist: Rapid Prototyping, Remote

Enzo Tech Group; España; A distancia; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

A leading technology consulting firm is seeking a Mid-Senior level professional to rapidly prototype tree-based machine learning models for credit and risk modeling. The role is fully remote and requires collaboration with a distributed team. Ideal candidates will have strong experience with XGBoost, LightGBM, and proficiency in Python. This position focuses on early-stage experimentation and offers long-term extension potential.

Formación

• Strong hands-on experience with tree-based models.
• Proficient in Python for data science.
• Solid SQL skills for data preparation.
• Experience in cloud environments.
• Background in credit risk or financial services modelling.
• Ability to work in fast-paced prototyping environments.
• Strong English communication skills.

Responsabilidades

• Rapidly prototype tree-based machine learning models.
• Retrain existing credit risk models.
• Build new prototype credit models from scratch.
• Perform exploratory data analysis and feature testing.
• Provide insights on model performance.
• Collaborate with analysts and distributed team members.
• Focus on early-stage model development.

Conocimientos

Tree-based classification models (XGBoost, LightGBM, Random Forest)

Python for data science (Pandas, NumPy, scikit-learn)

SQL skills for data wrangling

Cloud environments (AWS, GCP, or Azure)

Credit risk, fraud risk, lending analytics

English communication skills

Descripción del empleo

A leading technology consulting firm is seeking a Mid-Senior level professional to rapidly prototype tree-based machine learning models for credit and risk modeling. The role is fully remote and requires collaboration with a distributed team. Ideal candidates will have strong experience with XGBoost, LightGBM, and proficiency in Python. This position focuses on early-stage experimentation and offers long-term extension potential.