Director, Machine Learning & Data Science

• 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 LendingClubs 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
• Bachelors degree in a quantitative field (e.g. Statistics Computer Science Engineering Economics); Masters or PhD preferred

Work Location
San Francisco

The above locations are eligible offices for this locations have been determined to foster in-person collaboration with this roles team or the related business lines. We utilize a hybrid work model and our teams are in-office Tuesdays Wednesdays and -person attendance is essential for this roles success and remote placement will not be 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 00. 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 LendingClubs 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).

Were 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.

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