Client-Facing Credit Risk ML Scientist

Broadgate; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Broadgate in the United States is seeking a client-facing data scientist who will build credit models for prospective lending clients to quantify how risk signals improve approvals and reduce losses. You will run experiments, deliver results to clients, and ensure models meet US fair lending standards.

You'll also contribute to product roadmaps by translating insights into actionable recommendations for both technical and commercial audiences.

Qualifications

• Experience taking raw data to production-quality ML models.
• Ability to design features and measure performance.
• Comfort presenting results to technical and business audiences.

Responsibilities

• Work with prospective clients before they sign, building tailored models on their data to measure lift from risk signals.
• Show clients the results directly, explaining improvements in approvals and losses.
• Run tests and experiments to validate new features and modelling approaches.
• Ensure models and analyses meet US fair lending standards and incorporate these into feature design.
• Stay current on developments in ML, AI and credit risk tooling.

Skills

Python

scikit-learn

XGBoost

Data exploration

Model production

Tools

XGBoost

Gradient boosting

Job description

Broadgate in the United States is seeking a client-facing data scientist who will build credit models for prospective lending clients to quantify how risk signals improve approvals and reduce losses. You will run experiments, deliver results to clients, and ensure models meet US fair lending standards.

You'll also contribute to product roadmaps by translating insights into actionable recommendations for both technical and commercial audiences.