ML Engineer - Credit Scoring & Risk Models

Aiffin; Stati Uniti; Remoto; USD 66.000 - 100.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote work from France

Descrizione del lavoro

Aiffin is seeking a prototyping data scientist to develop and evaluate machine learning features for credit scoring and leasing risk workflows. The work uses synthetic data for demonstration and emphasizes model quality, clear evaluation, and decisions that are easy to explain.

You will collaborate with product colleagues, test risk-related features, and present readable metrics that help product teams understand model performance and drive decisions.

Competenze

• Proficient in Python and applied ML techniques.
• Solid understanding of model validation fundamentals.
• Experience with synthetic data for demonstrations is a plus.

Mansioni

• Develop and test risk-related features using synthetic datasets.
• Evaluate scoring model performance with clear, readable metrics.
• Collaborate with product teams to make model-driven decisions explainable.

Conoscenze

Python

Applied ML

Model validation

Descrizione del lavoro

Role overview

Prototype and evaluate machine learning features for credit scoring and leasing risk workflows. The work uses synthetic data for demonstration and focuses on model quality, clear evaluation, and making product decisions easier to explain.

Responsibilities

• Develop and test risk-related features using synthetic datasets.
• Evaluate scoring model performance and present results through clear, readable metrics.
• Work with product colleagues to make model-driven decisions more explainable.

Requirements

• Python experience and applied machine learning skills.
• Solid understanding of model validation fundamentals.

Nice to have

• Knowledge of credit risk.
• Some experience with machine learning operations.

Benefits and work setup

• Full-time, remote work from France.
• Opportunity to tackle applied data problems and collaborate directly with product colleagues.