Director, Machine Learning & Data Science

Current Employees of LendingClub: Please apply via your internal Workday Account

LendingClub Corporation (NYSE: LC) is the parent company of LendingClub Bank, National Association, Member FDIC. We are the leading digital marketplace bank in the U.S., having helped our nearly 5 million members secure over $90 billion in loans to refinance high-cost debt and achieve their financial goals. Members today have mobile-first access to a growing range of products and services designed to work seamlessly together to deliver value in new ways. Everyone deserves a better financial future, and our team is committed to making that a reality. Join the Club!

About the Role

LendingClub’s Risk and Decision Science organization is looking for a Director, Machine Learning & Data Science to lead the development and implementation of advanced machine learning and statistical solutions across our lending and deposit products. You will manage a team of experienced data scientists, working across key domains like credit underwriting, loan pricing, fraud detection, and marketing targeting.

You will play a central role in delivering scalable, interpretable, and compliant models that drive LendingClub’s business performance while collaborating closely with partners across Risk, Technology, Marketing, and Compliance.

What You'll Do

• Lead the end-to-end development, deployment, and performance monitoring of machine learning and statistical models used in credit, fraud, marketing, pricing, and operational decisioning
• Manage and mentor a team of data scientists and machine learning experts to deliver best-in-class modeling capabilities
• Partner with stakeholders across Credit Strategy, Marketing, Risk, Engineering, Model Risk Management, and Compliance to align solutions with business objectives and regulatory standards
• Apply advanced techniques such as gradient boosting, deep learning, and ensemble modeling to improve prediction accuracy and operational efficiency
• Contribute to the design and evolution of LendingClub’s ML infrastructure and tooling for scalable experimentation and deployment
• Identify and integrate new data sources to enhance model performance and business impact
• Ensure rigorous documentation, governance, and model validation in accordance with financial services regulatory requirements
• Communicate complex technical concepts clearly and effectively to business leaders, senior executives, and oversight functions

About You

• 10+ years of experience in machine learning, data science, or credit risk analytics, preferably in consumer lending or financial services
• 5+ years of experience managing high-performing teams in applied machine learning or predictive analytics
• You are an experienced and technically adept leader in machine learning and data science, with a passion for driving innovation and solving real-world financial challenges through data
• Strong technical expertise in supervised and unsupervised learning techniques (e.g., logistic regression, decision trees, GBMs, neural networks)
• Proficient in Python and key ML libraries (e.g., Scikit-learn, XGBoost, TensorFlow, PyTorch, Pandas, NumPy)
• Deep understanding of end-to-end model lifecycle management, from development through monitoring and retraining
• Familiarity with model governance practices and regulatory frameworks (e.g., SR 11-7, OCC guidance)
• Proven ability to execute complex projects, manage stakeholder expectations, and deliver high-impact results
• Excellent communication and data storytelling skills with the ability to influence across all levels of the organization
• Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics); Master’s or PhD preferred

Work Location
San Francisco

The above loc