Director, Data Science & Machine Learning

• 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

• 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 locations are eligible offices for this role. The locations have been determined to foster in-person collaboration with this role’s team or the related business lines. We utilize a hybrid work model, and our teams are in-office Tuesdays, Wednesdays, and Thursdays. In-person attendance is essential for this role’s success, and remote placement will not be considered. LendingClub offers relocation, based on actual job level.
Time Zone Requirements
Primarily PT
While the position will primarily work local hours, LendingClub is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary.
Travel Requirements
As needed travel to LendingClub offices and/or other locations, as needed.
Compensation
The target base salary range for this position is 210,000-245,000. The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of LendingClub’s Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings).
We’re creating new financial services solutions for our members based on fairness, simplicity, and heart, and we treat our employees the same way. We offer a competitive benefits package that includes medical, dental and vision plans for employees and their families, 401(k) match, health and wellness programs, flexible time off policies for salaried employees, up to 16 weeks paid parental leave and more.
#LI-Hybrid
#LI-BC1