A financial technology leader in San Francisco seeks a VP of Modeling & Data Science. This role requires extensive experience in consumer lending, machine learning, and analytical leadership. You'll set the modeling strategy and lead a high-performing team to innovate and enhance models for credit and fraud decisioning. A strong command of predictive modeling techniques and excellent communication skills are essential. Competitive salary range: $228,870 - $324,200.
Qualifications
15+ years of relevant business experience, mainly in consumer lending.
10+ years of experience leading and developing analytical teams.
Hands-on experience with predictive modeling and machine learning.
Responsibilities
Set the enterprise modeling strategy across key domains.
Drive AI/ML model innovation and oversee deployment.
Lead a team of modeling and data science professionals.
Skills
Predictive modeling methods
Machine Learning (ML)
Deep Learning
Statistical analysis
Data mining techniques
Communication skills
Education
Degree in a quantitative field
Tools
TensorFlow
PyTorch
NumPy
Scikit-Learn
Pandas
Job description
A financial technology leader in San Francisco seeks a VP of Modeling & Data Science. This role requires extensive experience in consumer lending, machine learning, and analytical leadership. You'll set the modeling strategy and lead a high-performing team to innovate and enhance models for credit and fraud decisioning. A strong command of predictive modeling techniques and excellent communication skills are essential. Competitive salary range: $228,870 - $324,200.