MidSenior Data Scientist Credit Risk Is WANTED
Aviso de fuente externaen Aventus Group
Aventus Group seeks a hands-on data scientist for credit risk modelling, scoring models, portfolio analysis, and multi-market projects.
Salario
No especificado
Ubicación
Medellín, Colombia
Tipo de empleo
Tiempo completo
Modalidad
No especificado
MidSenior Data Scientist Credit Risk Is WANTED
Medellín, Colombia
Descripción del empleo
About the role
Aventus Group is expanding and looking for a hands-on data scientist to strengthen its risk analytics function and take ownership of credit risk modelling initiatives across multiple markets. Aventus Group is an international fintech group with nearly 15 years of experience developing and scaling financial products across three continents.
Responsibilities
- Develop, validate, and enhance credit risk models for robustness, stability, and predictive accuracy.
- Build and optimize scoring models and risk segmentation strategies.
- Analyze portfolio performance and identify risk drivers.
- Provide advanced analytical support for ad-hoc tasks.
- Support credit risk decision-making with data-driven insights.
- Work effectively with business areas including IT, marketing, debt collection, and customer support.
Requirements
- At least 3 years of experience in credit risk modelling.
- Experience with classical modelling methods, including logistic regression, decision trees, and clustering, as well as machine learning and AI methods such as random forests, neural networks, and boosting.
- Strong SQL and Python skills; experience with additional tools is a plus.
- Experience in banks or fintech companies is required.
- English at B2+ level is required; the listing describes it as upper-intermediate.
- Expertise in credit risk analysis, scoring models, PD/LGD/EAD modelling, and portfolio performance metrics.
- A hands-on approach, including working deeply with data, validating outputs, and troubleshooting end-to-end processes.
- Ability to present analysis results to people without advanced statistical knowledge.
Benefits
- Ownership of credit risk modelling and decision-making processes.
- International environment and multi-market projects.
- Access to tools, data, and learning opportunities for professional growth.
- Extended benefits package, including medical care, sports card, corporate discounts, and development programs.
Datos clave
- Requires 3+ years of experience in credit risk modelling.
- Strong SQL and Python skills are required.
- English B2+ is required.
Preguntas frecuentes
What does the role involve?
It involves developing and enhancing credit risk models, building scoring models, analyzing portfolio performance, and supporting data-driven credit risk decisions.
What experience and skills are required?
The listing requires 3+ years of credit risk modelling experience, experience in banks or fintech companies, and strong SQL and Python skills. English B2+ is also required.
What benefits are offered?
The package includes medical care, a sports card, corporate discounts, and development programs. It also offers access to tools, data, and learning opportunities.