Engagement Manager - Credit Modeling

Overview

On Site
Full Time

Skills

SQL
Python
Machine learning
Banking
MLOps

Job Details

Engagement Manager ML & Credit Modeling

San Francisco, CA | Hybrid

We're seeking a hands-on Engagement Manager to lead machine learning & credit modeling initiatives for a leading Banking/FinTech client. This role blends applied ML, domain expertise, and team leadership.

What You'll Do

  • Lead ML model development from exploration feature engineering validation production.

  • Manage regulatory model documentation and respond to validation team queries.

  • Partner with business leaders to solve credit, collections, and fraud challenges with ML.

  • Mentor junior scientists and engineers on best practices and MLOps.

  • Promote innovation by evaluating emerging ML frameworks and publishing internal research.

What We're Looking For

  • 8+ years in applied ML within banking/financial services.

  • Strong Python, SQL, and ML libraries (Scikit-learn, TensorFlow, PyTorch).

  • Familiarity with MLOps (MLflow, Kubeflow, Docker/Kubernetes).

  • Banking lifecycle knowledge: underwriting, collections, fraud, ethical AI.

  • Strong leadership and communication skills.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Acunor Infotech