ML Modeling Lead - Credit & Risk Innovation

Ex; San Francisco (CA); On-site; USD 202,000 - 280,000; Full time

Benefits offered by this job

Mentoring program

Training in analytics tools

Guidance/coaching via mentoring

Job summary

EXL Analytics is seeking a highly skilled Machine Learning Modeling Lead - Credit Modeling to join the ML Model Innovation team within the banking/fintech domain. You will lead development and deployment of ML models powering decisions in collections, credit risk scoring, fraud detection, and personalization.

You will provide technical leadership to junior ML modelers and data scientists, collaborating with cross-functional teams to translate banking challenges into data-driven solutions and

Qualifications

• 12+ years of experience in applied machine learning model development in the banking or financial services domain.
• Hands-on experience leading ML projects and teams.
• Strong experience with model development, deployment and monitoring in production environments.

Responsibilities

• Lead end-to-end ML solution development & innovation from data exploration, feature engineering, model development, validation, deployment, and monitoring.
• Develop robust models which can drive business benefits; review junior submissions and provide enhancements.
• Collaborate with implementation teams to deploy models into production environments (cloud or on premises).
• Translate banking domain challenges into data-driven solutions with stakeholders across the business.
• Guide junior data scientists and engineers on best practices in model development and governance.

Skills

Python

SQL

ML libraries

MLOps

Communication

Education

Master’s or Similar in Computer Science/Data Science/Statistics/Applied Mathematics

Tools

MLflow

Kubeflow

Airflow

Docker

Kubernetes

Job description

EXL Analytics is seeking a highly skilled Machine Learning Modeling Lead - Credit Modeling to join the ML Model Innovation team within the banking/fintech domain. You will lead development and deployment of ML models powering decisions in collections, credit risk scoring, fraud detection, and personalization.

You will provide technical leadership to junior ML modelers and data scientists, collaborating with cross-functional teams to translate banking challenges into data-driven solutions and